Category: Matlab
Category Archives: Matlab
How to colour a portion of a curve by red and remaining by black
I want to colour the lower portion of curve by red and broked curve and upper part of the curve by black as shown in the fig attached.
Code
clear all
format long
set(0,’DefaultAxesFontSize’,20);
figure
load(‘EP_EP(1).mat’,’x’); %load only x
idx = x(3,:)>=0.16 & x(3,:)<=0.305003;
plot(x(3,:),x(1,:),’k–‘, ‘LineWidth’,2); %middle unstable equilibria broken line
xlabel(‘$a$’,’FontSize’,20,’interpreter’,’latex’,’FontWeight’,’normal’,’Color’,’k’);
ylabel(‘$b$’,’FontSize’,20,’interpreter’,’latex’,’FontWeight’,’normal’,’Color’,’k’);
axis([0 .4 .3 1]);I want to colour the lower portion of curve by red and broked curve and upper part of the curve by black as shown in the fig attached.
Code
clear all
format long
set(0,’DefaultAxesFontSize’,20);
figure
load(‘EP_EP(1).mat’,’x’); %load only x
idx = x(3,:)>=0.16 & x(3,:)<=0.305003;
plot(x(3,:),x(1,:),’k–‘, ‘LineWidth’,2); %middle unstable equilibria broken line
xlabel(‘$a$’,’FontSize’,20,’interpreter’,’latex’,’FontWeight’,’normal’,’Color’,’k’);
ylabel(‘$b$’,’FontSize’,20,’interpreter’,’latex’,’FontWeight’,’normal’,’Color’,’k’);
axis([0 .4 .3 1]); I want to colour the lower portion of curve by red and broked curve and upper part of the curve by black as shown in the fig attached.
Code
clear all
format long
set(0,’DefaultAxesFontSize’,20);
figure
load(‘EP_EP(1).mat’,’x’); %load only x
idx = x(3,:)>=0.16 & x(3,:)<=0.305003;
plot(x(3,:),x(1,:),’k–‘, ‘LineWidth’,2); %middle unstable equilibria broken line
xlabel(‘$a$’,’FontSize’,20,’interpreter’,’latex’,’FontWeight’,’normal’,’Color’,’k’);
ylabel(‘$b$’,’FontSize’,20,’interpreter’,’latex’,’FontWeight’,’normal’,’Color’,’k’);
axis([0 .4 .3 1]); plot MATLAB Answers — New Questions
i need help for this one please…i need to add each element of matrix A to corresponding element in matrix B
2 matrixes…add each element of corresponding matrixes2 matrixes…add each element of corresponding matrixes 2 matrixes…add each element of corresponding matrixes matrix MATLAB Answers — New Questions
libstdc++.so.6: version `GLIBCXX_3.4.30′ not found
Hi all,
I tried to run MATLAB in SUSE Linux SP15.4 and encountered the problem as shown in the title. I’ve udpated the gcc in my workstation from 7 to 11 and searched for newer GLIBC. However, the problem still exists. I was wondering if anyone knows how to update GLIBC or point me a path.
Thank youHi all,
I tried to run MATLAB in SUSE Linux SP15.4 and encountered the problem as shown in the title. I’ve udpated the gcc in my workstation from 7 to 11 and searched for newer GLIBC. However, the problem still exists. I was wondering if anyone knows how to update GLIBC or point me a path.
Thank you Hi all,
I tried to run MATLAB in SUSE Linux SP15.4 and encountered the problem as shown in the title. I’ve udpated the gcc in my workstation from 7 to 11 and searched for newer GLIBC. However, the problem still exists. I was wondering if anyone knows how to update GLIBC or point me a path.
Thank you linux, libstdc++ MATLAB Answers — New Questions
problem with the licence manager
Debian 10 is installed on the computer. I receive the following error message:
./flexnet.boot.linux start
Error: Cannot run the file /usr/local/MATLAB/R2021a/etc/glnxa64/lmgrd. This may not be an LSB compliant system.
What is the solution to the problem?Debian 10 is installed on the computer. I receive the following error message:
./flexnet.boot.linux start
Error: Cannot run the file /usr/local/MATLAB/R2021a/etc/glnxa64/lmgrd. This may not be an LSB compliant system.
What is the solution to the problem? Debian 10 is installed on the computer. I receive the following error message:
./flexnet.boot.linux start
Error: Cannot run the file /usr/local/MATLAB/R2021a/etc/glnxa64/lmgrd. This may not be an LSB compliant system.
What is the solution to the problem? lsb MATLAB Answers — New Questions
Create excel file from json variable value
I think there is an easy solution to this but I keep running into the same issue.
I want to create an excel file from a json value. The json file is stored in subject-specific folders (all with the same general path).
All json variables appear at the same line in the json file
My current code:
clear
subjs = {‘SUB2114’
‘SUB2116’
‘SUB2118’};
subjs=subjs.’;
for i=1:length(subjs)
%cd to folder with json files
cd ([‘/Volumes/myDirectory/’ subjs{i} ‘/folder/’]);
%read AP json file
jsonText = fileread(‘Fieldmapap.json’);
jsonData = jsondecode(jsonText);
ap = jsonData.PhaseEncodingDirection;
ap=ap.’;
% write json (not needed?)
encodedJSON = jsonencode(ap);
jsonText2 = jsonencode(jsonData);
fid = fopen(‘J_script_test.json’, ‘w’);
fprintf(fid, encodedJSON);
fclose(fid);
end %subject loop
%write table with subjects in first column and encodedJSON value in second column
T=cell2table([subjs encodedJSON]);
writetable(T,’Tester.csv’);
I have also tried the mytable function (below) with no positive results.
mytable=table(‘Size’,[3 2],’VariableTypes’,{‘cellstr’;’cellstr’},’VariableNames’,{‘subjects’;’direction’});
mytable{i,’subjects’} = {subjs};
mytable{i,’direction’} = {ap};
I keep getting an output that lists subjects horizontally with the last subjects direction value.
I think I am missing something simple (like, i+1 function), but do not know!
Any help would be appreciated!I think there is an easy solution to this but I keep running into the same issue.
I want to create an excel file from a json value. The json file is stored in subject-specific folders (all with the same general path).
All json variables appear at the same line in the json file
My current code:
clear
subjs = {‘SUB2114’
‘SUB2116’
‘SUB2118’};
subjs=subjs.’;
for i=1:length(subjs)
%cd to folder with json files
cd ([‘/Volumes/myDirectory/’ subjs{i} ‘/folder/’]);
%read AP json file
jsonText = fileread(‘Fieldmapap.json’);
jsonData = jsondecode(jsonText);
ap = jsonData.PhaseEncodingDirection;
ap=ap.’;
% write json (not needed?)
encodedJSON = jsonencode(ap);
jsonText2 = jsonencode(jsonData);
fid = fopen(‘J_script_test.json’, ‘w’);
fprintf(fid, encodedJSON);
fclose(fid);
end %subject loop
%write table with subjects in first column and encodedJSON value in second column
T=cell2table([subjs encodedJSON]);
writetable(T,’Tester.csv’);
I have also tried the mytable function (below) with no positive results.
mytable=table(‘Size’,[3 2],’VariableTypes’,{‘cellstr’;’cellstr’},’VariableNames’,{‘subjects’;’direction’});
mytable{i,’subjects’} = {subjs};
mytable{i,’direction’} = {ap};
I keep getting an output that lists subjects horizontally with the last subjects direction value.
I think I am missing something simple (like, i+1 function), but do not know!
Any help would be appreciated! I think there is an easy solution to this but I keep running into the same issue.
I want to create an excel file from a json value. The json file is stored in subject-specific folders (all with the same general path).
All json variables appear at the same line in the json file
My current code:
clear
subjs = {‘SUB2114’
‘SUB2116’
‘SUB2118’};
subjs=subjs.’;
for i=1:length(subjs)
%cd to folder with json files
cd ([‘/Volumes/myDirectory/’ subjs{i} ‘/folder/’]);
%read AP json file
jsonText = fileread(‘Fieldmapap.json’);
jsonData = jsondecode(jsonText);
ap = jsonData.PhaseEncodingDirection;
ap=ap.’;
% write json (not needed?)
encodedJSON = jsonencode(ap);
jsonText2 = jsonencode(jsonData);
fid = fopen(‘J_script_test.json’, ‘w’);
fprintf(fid, encodedJSON);
fclose(fid);
end %subject loop
%write table with subjects in first column and encodedJSON value in second column
T=cell2table([subjs encodedJSON]);
writetable(T,’Tester.csv’);
I have also tried the mytable function (below) with no positive results.
mytable=table(‘Size’,[3 2],’VariableTypes’,{‘cellstr’;’cellstr’},’VariableNames’,{‘subjects’;’direction’});
mytable{i,’subjects’} = {subjs};
mytable{i,’direction’} = {ap};
I keep getting an output that lists subjects horizontally with the last subjects direction value.
I think I am missing something simple (like, i+1 function), but do not know!
Any help would be appreciated! json, excel MATLAB Answers — New Questions
When running regression tests in Test Manager, how can you tell if all tests have run to completion without skipping any?
I am running Simulink Test, running a lot of regression tests in Simulink Test Manager.
I have been using the "stop simulation" workaround to stop the simulation when the Scenario is complete.
How to Stop Simulation in Test Sequence Block – MATLAB Answers – MATLAB Central (mathworks.com)
What is the best way to make sure that the tests run to completion? Specifically:
how can we tell that the test has run but has not got all the way to the end of the scenario? For example, if one of the tests does not pass, the step will not progress to the next transition.
is there a way to show the test completes all verify steps and has not missed any?I am running Simulink Test, running a lot of regression tests in Simulink Test Manager.
I have been using the "stop simulation" workaround to stop the simulation when the Scenario is complete.
How to Stop Simulation in Test Sequence Block – MATLAB Answers – MATLAB Central (mathworks.com)
What is the best way to make sure that the tests run to completion? Specifically:
how can we tell that the test has run but has not got all the way to the end of the scenario? For example, if one of the tests does not pass, the step will not progress to the next transition.
is there a way to show the test completes all verify steps and has not missed any? I am running Simulink Test, running a lot of regression tests in Simulink Test Manager.
I have been using the "stop simulation" workaround to stop the simulation when the Scenario is complete.
How to Stop Simulation in Test Sequence Block – MATLAB Answers – MATLAB Central (mathworks.com)
What is the best way to make sure that the tests run to completion? Specifically:
how can we tell that the test has run but has not got all the way to the end of the scenario? For example, if one of the tests does not pass, the step will not progress to the next transition.
is there a way to show the test completes all verify steps and has not missed any? simulink, simulink-test, test-manager MATLAB Answers — New Questions
Calling linkaxes on uiaxes objects makes plot contents disappear when using uigridlayout
I wish to link the windows of a set of uiaxes. For regular axes objects, I would call the linkaxes function to link their windows together. In the following example, calling the linkaxes function for uiaxes objects makes any plots on these axes disappear:
% Generate UIFigure
ufig = uifigure;
% Apply grid layout to UIFigure
gl = uigridlayout(ufig, ‘RowHeight’, {‘1x’, ‘1x’, ‘1x’}, ‘ColumnWidth’, {‘1x’});
% Create three uiaxes objects; place them in the grid layout
ax1 = uiaxes(gl);
ax1.Layout.Row = 1;
ax2 = uiaxes(gl);
ax2.Layout.Row = 2;
ax3 = uiaxes(gl);
ax3.Layout.Row = 3;
% Create plots for each uiaxes object
x = 1:10;
plot(ax1, x, x);
plot(ax2, x, x.^2);
plot(ax3, x, x.^3);
% Attempt to link the uiaxes together
linkaxes([ax1 ax2 ax3]);
It is the last line of this code (with linkaxes) that makes the plots disappear. Otherwise, they show up as expected.
I believe the use of uigridlayout is contributing to the problem. In the following code snippet, which does not include the use of uigridlayout, linking the uiaxes objects together with linkaxes does not make the plots disappear:
% Generate UIFigure
ufig = uifigure;
% Create three uiaxes objects; place them side by side
ax1 = uiaxes(ufig, ‘Position’, [ 0 0 200 200]);
ax2 = uiaxes(ufig, ‘Position’, [200 0 200 200]);
ax3 = uiaxes(ufig, ‘Position’, [400 0 200 200]);
% Create plots for each uiaxes object
x = 1:10;
plot(ax1, x, x);
plot(ax2, x, x.^2);
plot(ax3, x, x.^3);
% Attempt to link the uiaxes together
linkaxes([ax1, ax2, ax3]);
I would appreciate any assistance that one could offer to help me understand and, if possible, correct this issue.I wish to link the windows of a set of uiaxes. For regular axes objects, I would call the linkaxes function to link their windows together. In the following example, calling the linkaxes function for uiaxes objects makes any plots on these axes disappear:
% Generate UIFigure
ufig = uifigure;
% Apply grid layout to UIFigure
gl = uigridlayout(ufig, ‘RowHeight’, {‘1x’, ‘1x’, ‘1x’}, ‘ColumnWidth’, {‘1x’});
% Create three uiaxes objects; place them in the grid layout
ax1 = uiaxes(gl);
ax1.Layout.Row = 1;
ax2 = uiaxes(gl);
ax2.Layout.Row = 2;
ax3 = uiaxes(gl);
ax3.Layout.Row = 3;
% Create plots for each uiaxes object
x = 1:10;
plot(ax1, x, x);
plot(ax2, x, x.^2);
plot(ax3, x, x.^3);
% Attempt to link the uiaxes together
linkaxes([ax1 ax2 ax3]);
It is the last line of this code (with linkaxes) that makes the plots disappear. Otherwise, they show up as expected.
I believe the use of uigridlayout is contributing to the problem. In the following code snippet, which does not include the use of uigridlayout, linking the uiaxes objects together with linkaxes does not make the plots disappear:
% Generate UIFigure
ufig = uifigure;
% Create three uiaxes objects; place them side by side
ax1 = uiaxes(ufig, ‘Position’, [ 0 0 200 200]);
ax2 = uiaxes(ufig, ‘Position’, [200 0 200 200]);
ax3 = uiaxes(ufig, ‘Position’, [400 0 200 200]);
% Create plots for each uiaxes object
x = 1:10;
plot(ax1, x, x);
plot(ax2, x, x.^2);
plot(ax3, x, x.^3);
% Attempt to link the uiaxes together
linkaxes([ax1, ax2, ax3]);
I would appreciate any assistance that one could offer to help me understand and, if possible, correct this issue. I wish to link the windows of a set of uiaxes. For regular axes objects, I would call the linkaxes function to link their windows together. In the following example, calling the linkaxes function for uiaxes objects makes any plots on these axes disappear:
% Generate UIFigure
ufig = uifigure;
% Apply grid layout to UIFigure
gl = uigridlayout(ufig, ‘RowHeight’, {‘1x’, ‘1x’, ‘1x’}, ‘ColumnWidth’, {‘1x’});
% Create three uiaxes objects; place them in the grid layout
ax1 = uiaxes(gl);
ax1.Layout.Row = 1;
ax2 = uiaxes(gl);
ax2.Layout.Row = 2;
ax3 = uiaxes(gl);
ax3.Layout.Row = 3;
% Create plots for each uiaxes object
x = 1:10;
plot(ax1, x, x);
plot(ax2, x, x.^2);
plot(ax3, x, x.^3);
% Attempt to link the uiaxes together
linkaxes([ax1 ax2 ax3]);
It is the last line of this code (with linkaxes) that makes the plots disappear. Otherwise, they show up as expected.
I believe the use of uigridlayout is contributing to the problem. In the following code snippet, which does not include the use of uigridlayout, linking the uiaxes objects together with linkaxes does not make the plots disappear:
% Generate UIFigure
ufig = uifigure;
% Create three uiaxes objects; place them side by side
ax1 = uiaxes(ufig, ‘Position’, [ 0 0 200 200]);
ax2 = uiaxes(ufig, ‘Position’, [200 0 200 200]);
ax3 = uiaxes(ufig, ‘Position’, [400 0 200 200]);
% Create plots for each uiaxes object
x = 1:10;
plot(ax1, x, x);
plot(ax2, x, x.^2);
plot(ax3, x, x.^3);
% Attempt to link the uiaxes together
linkaxes([ax1, ax2, ax3]);
I would appreciate any assistance that one could offer to help me understand and, if possible, correct this issue. uigridlayout, uiaxes, linkaxes, plot, disappear, appdesigner MATLAB Answers — New Questions
What is the best way to heat up a thermal liquid ?
Hello everyone,
In your opininon what is the best way to heat up a thermal liquid knowing the heat flow (in W). I am currently using a pipe with a controlled heat flow source but the fluid is not heating up correctly. Thank you in advance.Hello everyone,
In your opininon what is the best way to heat up a thermal liquid knowing the heat flow (in W). I am currently using a pipe with a controlled heat flow source but the fluid is not heating up correctly. Thank you in advance. Hello everyone,
In your opininon what is the best way to heat up a thermal liquid knowing the heat flow (in W). I am currently using a pipe with a controlled heat flow source but the fluid is not heating up correctly. Thank you in advance. simscape, simulink, simulation, matlab MATLAB Answers — New Questions
Can MATLAB Parallel Server be used in a mixed Operating System configuration?
I have a number of computers running different Operating Systems that I would like to utilize with my MATLAB Parallel Server license. Can I use a mix of Operating Systems in my configuration?I have a number of computers running different Operating Systems that I would like to utilize with my MATLAB Parallel Server license. Can I use a mix of Operating Systems in my configuration? I have a number of computers running different Operating Systems that I would like to utilize with my MATLAB Parallel Server license. Can I use a mix of Operating Systems in my configuration? MATLAB Answers — New Questions
Simulink-Pixhawk Generating ELF failed for command source
Windows 10
MATLAB R2024a
Pixhawk 4
PX4 v1.14.0
I am following the tutorial Getting Started with uORB Blocks for PX4 Autopilots Support Package. I get stuct at Step 14 (Monitor & Tune). The error messages are as follows
“`
Error:Generating ELF failed for command source /mnt/c/ProgramData/MATLAB/SupportPackages/R2024a/toolbox/target/supportpackages/px4/lib/scripts/executeCommandFromText.sh /home/xing/PX4-Autopilot/build/px4_fmu-v5_default/generateElf.txt with error ‘\wsl.localhostubuntuhomexingPX4-Autopilotbuildpx4_fmu-v5_default’ CMD.EXE was started with the above path as the current directory. UNC paths are not supported. Defaulting to Windows directory. /opt/gcc-arm-none-eabi-9-2020-q2-update/bin/arm-none-eabi-g++ -mcpu=cortex-m7 -mthumb -mfpu=fpv5-d16 -mfloat-abi=hard -Os -DNDEBUG –specs=nosys.specs -nostartfiles -nodefaultlibs -nostdlib -nostdinc++ -fno-exceptions -fno-rtti -Wl,–script=/home/xing/PX4-Autopilot/boards/px4/fmu-v5/nuttx-config/scripts/script.ld -Wl,-Map=px4_fmu-v5_default.map -Wl,–warn-common -Wl,–gc-sections -Wl,–start-group NuttX/nuttx/boards/libboards.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/fs/libfs.a NuttX/nuttx/sched/libsched.a NuttX/nuttx/crypto/libcrypto.a NuttX/nuttx/binfmt/libbinfmt.a NuttX/nuttx/libs/libxx/libxx.a NuttX/apps/libapps.a NuttX/nuttx/arch/arm/src/libarch.a NuttX/nuttx/mm/libmm.a NuttX/nuttx/libs/libc/libc.a -Wl,–end-group -lm -lgcc -Wl,–print-memory-usage src/drivers/adc/ads1115/libdrivers__ads1115.a src/drivers/adc/board_adc/libdrivers__board_adc.a src/drivers/barometer/bmp280/libdrivers__barometer__bmp280.a src/drivers/barometer/bmp388/libdrivers__barometer__bmp388.a src/drivers/barometer/dps310/libdrivers__barometer__dps310.a src/drivers/barometer/goertek/spl06/libdrivers__barometer__spl06.a src/drivers/barometer/invensense/icp101xx/libdrivers__invensense__icp101xx.a src/drivers/barometer/invensense/icp201xx/libdrivers__invensense__icp201xx.a src/drivers/barometer/lps22hb/libdrivers__barometer__lps22hb.a src/drivers/barometer/lps33hw/libdrivers__barometer__lps33hw.a src/drivers/barometer/maiertek/mpc2520/libdrivers__maiertek__mpc2520.a src/drivers/barometer/ms5611/libdrivers__barometer__ms5611.a src/drivers/batt_smbus/libdrivers__batt_smbus.a src/drivers/camera_capture/libdrivers__camera_capture.a src/drivers/camera_trigger/libdrivers__camera_trigger.a src/drivers/differential_pressure/ms4525do/libdrivers__differential_pressure__ms4525do.a src/drivers/differential_pressure/ms5525dso/libdrivers__differential_pressure__ms5525dso.a src/drivers/differential_pressure/sdp3x/libdrivers__differential_pressure__sdp3x.a src/drivers/distance_sensor/cm8jl65/libdrivers__cm8jl65.a src/drivers/distance_sensor/gy_us42/libdrivers__distance_sensor__gy_us42.a src/drivers/distance_sensor/leddar_one/libdrivers__distance_sensor__leddar_one.a src/drivers/distance_sensor/lightware_laser_i2c/libdrivers__distance_sensor__lightware_laser_i2c.a src/drivers/distance_sensor/lightware_laser_serial/libdrivers__distance_sensor__lightware_laser_serial.a src/drivers/distance_sensor/ll40ls/libdrivers__ll40ls.a src/drivers/distance_sensor/ll40ls_pwm/libdrivers__ll40ls_pwm.a src/drivers/distance_sensor/mappydot/libdrivers__mappydot.a src/drivers/distance_sensor/mb12xx/libdrivers__mb12xx.a src/drivers/distance_sensor/pga460/libdrivers__pga460.a src/drivers/distance_sensor/srf02/libdrivers__distance_sensor__srf02.a src/drivers/distance_sensor/teraranger/libdrivers__distance_sensor__teraranger.a src/drivers/distance_sensor/tf02pro/libdrivers__distance_sensor__tf02pro.a src/drivers/distance_sensor/tfmini/libdrivers__tfmini.a src/drivers/distance_sensor/ulanding_radar/libdrivers__distance_sensor__ulanding_radar.a src/drivers/distance_sensor/vl53l0x/libdrivers__distance_sensor__vl53l0x.a src/drivers/distance_sensor/vl53l1x/libdrivers__distance_sensor__vl53l1x.a src/drivers/dshot/libdrivers__dshot.a src/drivers/gps/libdrivers__gps.a src/drivers/heater/libdrivers__heater.a src/drivers/hygrometer/sht3x/libdrivers__hygrometer__sht3x.a src/drivers/imu/analog_devices/adis16448/libdrivers__imu__analog_devices__adis16448.a src/drivers/imu/bosch/bmi055/libdrivers__imu__bosch__bmi055.a src/drivers/imu/invensense/icm20602/libdrivers__imu__invensense__icm20602.a src/drivers/imu/invensense/icm20689/libdrivers__imu__invensense__icm20689.a src/drivers/imu/invensense/icm20948/libdrivers__imu__invensense__icm20948.a src/drivers/imu/invensense/icm20948/libdrivers__imu__invensense__icm20948_i2c_passthrough.a src/drivers/imu/invensense/icm42688p/libdrivers__imu__invensense__icm42688p.a src/drivers/irlock/libdrivers__irlock.a src/drivers/lights/rgbled/libdrivers__rgbled.a src/drivers/lights/rgbled_is31fl3195/libdrivers__rgbled_is31fl3195.a src/drivers/lights/rgbled_lp5562/libdrivers__rgbled_lp5562.a src/drivers/lights/rgbled_ncp5623c/libdrivers__rgbled_ncp5623c.a src/drivers/lights/rgbled_pwm/libdrivers__rgbled_pwm.a src/drivers/magnetometer/akm/ak09916/libdrivers__magnetometer__akm__ak09916.a src/drivers/magnetometer/akm/ak8963/libdrivers__magnetometer__akm__ak8963.a src/drivers/magnetometer/bosch/bmm150/libdrivers__magnetometer__bosch__bmm150.a src/drivers/magnetometer/hmc5883/libdrivers__hmc5883.a src/drivers/magnetometer/isentek/ist8308/libdrivers__magnetometer__isentek__ist8308.a src/drivers/magnetometer/isentek/ist8310/libdrivers__magnetometer__isentek__ist8310.a src/drivers/magnetometer/lis2mdl/libdrivers__lis2mdl.a src/drivers/magnetometer/lis3mdl/libdrivers__magnetometer__lis3mdl.a src/drivers/magnetometer/lsm303agr/libdrivers__magnetometer__lsm303agr.a src/drivers/magnetometer/qmc5883l/libdrivers__magnetometer__qmc5883l.a src/drivers/magnetometer/rm3100/libdrivers__rm3100.a src/drivers/magnetometer/vtrantech/vcm1193l/libdrivers__magnetometer__vcm1193l.a src/drivers/optical_flow/paa3905/libdrivers__optical_flow__paa3905.a src/drivers/optical_flow/paw3902/libdrivers__optical_flow__paw3902.a src/drivers/optical_flow/pmw3901/libdrivers__optical_flow__pmw3901.a src/drivers/optical_flow/px4flow/libdrivers__px4flow.a src/drivers/optical_flow/thoneflow/libdrivers__thoneflow.a src/drivers/osd/atxxxx/libdrivers__atxxxx.a src/drivers/osd/msp_osd/libdrivers__osd__msp_osd.a src/drivers/pca9685_pwm_out/libdrivers__pca9685_pwm_out.a src/drivers/power_monitor/ina226/libdrivers__ina226.a src/drivers/pwm_input/libdrivers__pwm_input.a src/drivers/pwm_out/libdrivers__pwm_out.a src/drivers/px4io/libdrivers__px4io.a src/drivers/rc/crsf_rc/libdrivers__rc__crsf_rc.a src/drivers/rc_input/libdrivers__rc_input.a src/drivers/safety_button/libdrivers__safety_button.a src/drivers/smart_battery/batmon/libdrivers__batmon.a src/drivers/telemetry/bst/libdrivers__bst.a src/drivers/telemetry/frsky_telemetry/libdrivers__frsky_telemetry.a src/drivers/telemetry/hott/hott_sensors/libdrivers__hott__hott_sensors.a src/drivers/telemetry/hott/hott_telemetry/libdrivers__hott__hott_telemetry.a src/drivers/tone_alarm/libdrivers__tone_alarm.a src/drivers/uavcan/libdrivers__uavcan.a src/modules/airspeed_selector/libmodules__airspeed_selector.a src/modules/attitude_estimator_q/libmodules__attitude_estimator_q.a src/modules/battery_status/libmodules__battery_status.a src/modules/camera_feedback/libmodules__camera_feedback.a src/modules/commander/libmodules__commander.a src/modules/control_allocator/libmodules__control_allocator.a src/modules/dataman/libmodules__dataman.a src/modules/ekf2/libmodules__ekf2.a src/modules/esc_battery/libmodules__esc_battery.a src/modules/events/libmodules__events.a src/modules/flight_mode_manager/libmodules__flight_mode_manager.a src/modules/fw_att_control/libmodules__fw_att_control.a src/modules/fw_autotune_attitude_control/libfw_autotune_attitude_control.a src/modules/fw_pos_control/libmodules__fw_pos_control.a src/modules/fw_rate_control/libmodules__fw_rate_control.a src/modules/gimbal/libdrivers__gimbal.a src/modules/gyro_calibration/libmodules__gyro_calibration.a src/modules/land_detector/libmodules__land_detector.a src/modules/landing_target_estimator/libmodules__landing_target_estimator.a src/modules/load_mon/libmodules__load_mon.a src/modules/local_position_estimator/libmodules__local_position_estimator.a src/modules/logger/libmodules__logger.a src/modules/mag_bias_estimator/libmodules__mag_bias_estimator.a src/modules/manual_control/libmodule__manual_control.a src/modules/mavlink/libmodules__mavlink.a src/modules/mc_att_control/libmodules__mc_att_control.a src/modules/mc_autotune_attitude_control/libmc_autotune_attitude_control.a src/modules/mc_hover_thrust_estimator/libmodules__mc_hover_thrust_estimator.a src/modules/mc_pos_control/libmodules__mc_pos_control.a src/modules/mc_rate_control/libmodules__mc_rate_control.a src/modules/navigator/libmodules__navigator.a src/modules/px4_simulink_app/libmodules__px4_simulink_app.a src/modules/rc_update/libmodules__rc_update.a src/modules/rover_pos_control/libmodules__rover_pos_control.a src/modules/sensors/libmodules__sensors.a src/modules/simulation/pwm_out_sim/libmodules__simulation__pwm_out_sim.a src/modules/simulation/sensor_baro_sim/libmodules__simulation__sensor_baro_sim.a src/modules/simulation/sensor_gps_sim/libmodules__simulation__sensor_gps_sim.a src/modules/simulation/sensor_mag_sim/libmodules__simulation__senosr_mag_sim.a src/modules/simulation/simulator_sih/libmodules__simulation__simulator_sih.a src/modules/temperature_compensation/libmodules__temperature_compensation.a src/modules/uuv_att_control/libmodules__uuv_att_control.a src/modules/uuv_pos_control/libmodules__uuv_pos_control.a src/modules/uxrce_dds_client/libmodules__uxrce_dds_client.a src/modules/vtol_att_control/libmodules__vtol_att_control.a src/systemcmds/actuator_test/libsystemcmds__actuator_test.a src/systemcmds/bl_update/libsystemcmds__bl_update.a src/systemcmds/bsondump/libsystemcmds__bsondump.a src/systemcmds/dmesg/libsystemcmds__dmesg.a src/systemcmds/dumpfile/libsystemcmds__dumpfile.a src/systemcmds/gpio/libsystemcmds__gpio.a src/systemcmds/hardfault_log/libsystemcmds__hardfault_log.a src/systemcmds/i2cdetect/libsystemcmds__i2cdetect.a src/systemcmds/led_control/libsystemcmds__led_control.a src/systemcmds/mft/libsystemcmds__mft.a src/systemcmds/mtd/libsystemcmds__mtd.a src/systemcmds/nshterm/libsystemcmds__nshterm.a src/systemcmds/param/libsystemcmds__param.a src/systemcmds/perf/libsystemcmds__perf.a src/systemcmds/reboot/libsystemcmds__reboot.a src/systemcmds/reflect/libsystemcmds__reflect.a src/systemcmds/sd_bench/libsystemcmds__sd_bench.a src/systemcmds/sd_stress/libsystemcmds__sd_stress.a src/systemcmds/serial_test/libsystemcmds__serial_test.a src/systemcmds/system_time/libsystemcmds__system_time.a src/systemcmds/top/libsystemcmds__top.a src/systemcmds/topic_listener/libsystemcmds__topic_listener.a src/systemcmds/tune_control/libsystemcmds__tune_control.a src/systemcmds/uorb/libsystemcmds__uorb.a src/systemcmds/usb_connected/libsystemcmds__usb_connected.a src/systemcmds/ver/libsystemcmds__ver.a src/systemcmds/work_queue/libsystemcmds__work_queue.a src/examples/fake_gps/libmodules__fake_gps.a ROMFS/libromfs.a platforms/nuttx/src/px4/stm/stm32f7/dshot/libarch_dshot.a platforms/nuttx/src/px4/stm/stm32f7/led_pwm/libarch_led_pwm.a src/drivers/osd/msp_osd/MessageDisplay/libmessage_display.a platforms/nuttx/src/px4/stm/stm32f7/px4io_serial/libarch_px4io_serial.a src/lib/rc/librc.a src/lib/drivers/smbus/libdrivers__smbus.a src/lib/drivers/smbus_sbs/libdrivers__smbus_sbs.a src/drivers/telemetry/hott/libdrivers__hott.a platforms/nuttx/src/px4/stm/stm32f7/tone_alarm/libarch_tone_alarm.a src/lib/drivers/rangefinder/libdrivers_rangefinder.a src/lib/led/libled.a src/lib/button/libbutton_publisher.a src/drivers/uavcan/libuavcan_drivers/libuavcan_stm32_driver.a src/drivers/uavcan/libuavcan/libuavcan/libuavcan.a src/lib/wind_estimator/libwind_estimator.a src/modules/commander/failure_detector/libfailure_detector.a src/modules/commander/Arming/ArmAuthorization/libArmAuthorization.a src/modules/commander/Arming/ArmStateMachine/libArmStateMachine.a src/modules/commander/HealthAndArmingChecks/libhealth_and_arming_checks.a src/modules/commander/ModeUtil/libmode_util.a src/modules/commander/failsafe/libfailsafe.a src/modules/control_allocator/ActuatorEffectiveness/libActuatorEffectiveness.a src/modules/control_allocator/ControlAllocation/libControlAllocation.a src/lib/world_magnetic_model/libworld_magnetic_model.a src/modules/ekf2/Utility/libEKF2Utility.a src/lib/battery/libbattery.a src/modules/flight_mode_manager/tasks/Descend/libFlightTaskDescend.a src/modules/flight_mode_manager/tasks/Failsafe/libFlightTaskFailsafe.a src/modules/flight_mode_manager/tasks/ManualAcceleration/libFlightTaskManualAcceleration.a src/modules/flight_mode_manager/tasks/ManualPositionSmoothVel/libFlightTaskManualPositionSmoothVel.a src/modules/flight_mode_manager/tasks/ManualPosition/libFlightTaskManualPosition.a src/lib/collision_prevention/libCollisionPrevention.a src/modules/flight_mode_manager/tasks/Transition/libFlightTaskTransition.a src/modules/flight_mode_manager/tasks/AutoFollowTarget/libFlightTaskAutoFollowTarget.a src/modules/flight_mode_manager/tasks/Auto/libFlightTaskAuto.a src/lib/weather_vane/libWeatherVane.a src/lib/avoidance/libavoidance.a src/modules/flight_mode_manager/tasks/AutoFollowTarget/follow_target_estimator/libfollow_target_estimator.a src/modules/flight_mode_manager/tasks/Orbit/libFlightTaskOrbit.a src/modules/flight_mode_manager/tasks/ManualAltitudeSmoothVel/libFlightTaskManualAltitudeSmoothVel.a src/modules/flight_mode_manager/tasks/ManualAltitude/libFlightTaskManualAltitude.a src/modules/flight_mode_manager/tasks/Utility/libFlightTaskUtility.a src/modules/flight_mode_manager/tasks/FlightTask/libFlightTask.a src/lib/bezier/libbezier.a src/modules/fw_pos_control/launchdetection/liblaunchdetection.a src/lib/npfg/libnpfg.a src/modules/fw_pos_control/runway_takeoff/librunway_takeoff.a src/lib/tecs/libtecs.a src/modules/mc_att_control/AttitudeControl/libAttitudeControl.a src/lib/system_identification/libSystemIdentification.a src/modules/mc_hover_thrust_estimator/libzero_order_hover_thrust_ekf.a src/lib/slew_rate/libSlewRate.a src/lib/controllib/libcontrollib.a src/modules/mc_pos_control/PositionControl/libPositionControl.a src/modules/mc_pos_control/Takeoff/libTakeoff.a src/lib/rate_control/libRateControl.a src/modules/navigator/MissionFeasibility/libmission_feasibility_checker.a src/modules/navigator/libmodules__navigator.a src/modules/navigator/MissionFeasibility/libmission_feasibility_checker.a src/lib/motion_planning/libmotion_planning.a src/lib/adsb/libadsb.a src/modules/navigator/GeofenceBreachAvoidance/libgeofence_breach_avoidance.a src/modules/dataman/libmodules__dataman.a src/lib/hysteresis/libhysteresis.a src/lib/l1/libl1.a src/lib/pid/libpid.a src/lib/airspeed/libairspeed.a src/modules/sensors/vehicle_imu/libvehicle_imu.a src/modules/sensors/vehicle_acceleration/libvehicle_acceleration.a src/modules/sensors/vehicle_air_data/libvehicle_air_data.a src/modules/sensors/vehicle_angular_velocity/libvehicle_angular_velocity.a src/modules/sensors/vehicle_gps_position/libvehicle_gps_position.a src/modules/sensors/vehicle_magnetometer/libvehicle_magnetometer.a src/lib/sensor_calibration/libsensor_calibration.a src/modules/sensors/data_validator/libdata_validator.a src/modules/sensors/vehicle_optical_flow/libvehicle_optical_flow.a src/lib/mixer_module/libmixer_module.a src/lib/drivers/magnetometer/libdrivers_magnetometer.a src/lib/geo/libgeo.a src/lib/drivers/accelerometer/libdrivers_accelerometer.a src/lib/drivers/gyroscope/libdrivers_gyroscope.a src/lib/conversion/libconversion.a src/lib/mathlib/libmathlib.a src/lib/timesync/libtimesync.a src/modules/uxrce_dds_client/lib/libmicroxrcedds_client.a src/modules/uxrce_dds_client/lib/libmicrocdr.a src/lib/tunes/libtunes.a src/lib/circuit_breaker/libcircuit_breaker.a src/lib/version/libversion.a src/lib/systemlib/libsystemlib.a src/lib/parameters/libparameters.a src/lib/perf/libperf.a src/lib/tinybson/libtinybson.a src/lib/parameters/flashparams/libflashparams.a NuttX/nuttx/arch/arm/src/libarch.a boards/px4/fmu-v5/src/libdrivers_board.a platforms/nuttx/src/px4/stm/stm32f7/board_reset/libarch_board_reset.a platforms/nuttx/src/px4/common/libpx4_layer.a src/lib/drivers/device/libdrivers__device.a platforms/nuttx/src/px4/stm/stm32f7/io_pins/libarch_io_pins.a platforms/nuttx/src/px4/stm/stm32f7/spi/libarch_spi.a src/lib/drivers/led/libdrivers__led.a NuttX/nuttx/arch/arm/src/libarch.a boards/px4/fmu-v5/src/libdrivers_board.a platforms/nuttx/src/px4/stm/stm32f7/board_reset/libarch_board_reset.a platforms/nuttx/src/px4/common/libpx4_layer.a src/lib/drivers/device/libdrivers__device.a platforms/nuttx/src/px4/stm/stm32f7/io_pins/libarch_io_pins.a platforms/nuttx/src/px4/stm/stm32f7/spi/libarch_spi.a src/lib/drivers/led/libdrivers__led.a platforms/nuttx/src/px4/stm/stm32f7/hrt/libarch_hrt.a platforms/nuttx/src/px4/stm/stm32f7/board_hw_info/libarch_board_hw_info.a platforms/nuttx/src/px4/stm/stm32f7/adc/libarch_adc.a src/lib/crc/libcrc.a boards/px4/fmu-v5/src/libboard_bus_info.a platforms/common/libpx4_platform.a platforms/nuttx/src/px4/stm/stm32f7/board_critmon/libarch_board_critmon.a platforms/nuttx/src/px4/stm/stm32f7/version/libarch_version.a platforms/common/uORB/libuORB.a NuttX/nuttx/mm/libmm.a src/lib/cdev/libcdev.a NuttX/nuttx/fs/libfs.a msg/libuorb_msgs.a platforms/common/px4_work_queue/libpx4_work_queue.a NuttX/nuttx/libs/libxx/libxx.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/libs/libc/libc.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/libs/libc/libc.a NuttX/nuttx/sched/libsched.a -lm -lgcc -o px4_fmu-v5_default.elf Memory region Used Size Region Size %age Used FLASH_ITCM: 0 GB 2016 KB 0.00% FLASH_AXIM: 2064841 B 2016 KB100.02% ITCM_RAM: 0 GB 16 KB 0.00% DTCM_RAM: 0 GB 128 KB 0.00% SRAM1: 48472 B 368 KB 12.86% SRAM2: 0 GB 16 KB 0.00/opt/gcc-arm-none-eabi-9-2020-q2-update/bin/../lib/gcc/arm-none-eabi/9.3.1/../../../../arm-none-eabi/bin/ld: px4_fmu-v5_default.elf section `.data’ will not fit in region `FLASH_AXIM’ /opt/gcc-arm-none-eabi-9-2020-q2-update/bin/../lib/gcc/arm-none-eabi/9.3.1/../../../../arm-none-eabi/bin/ld: region `FLASH_AXIM’ overflowed by 457 bytes collect2: error: ld returned 1 exit status %
“`
In WSL2, after typing "arm-none-eabi-g++ –version", I have
“`
arm-none-eabi-g++ (GNU Arm Embedded Toolchain 9-2020-q2-update) 9.3.1 20200408 (release)
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
“`
How should I resolve this problem? Thanks.Windows 10
MATLAB R2024a
Pixhawk 4
PX4 v1.14.0
I am following the tutorial Getting Started with uORB Blocks for PX4 Autopilots Support Package. I get stuct at Step 14 (Monitor & Tune). The error messages are as follows
“`
Error:Generating ELF failed for command source /mnt/c/ProgramData/MATLAB/SupportPackages/R2024a/toolbox/target/supportpackages/px4/lib/scripts/executeCommandFromText.sh /home/xing/PX4-Autopilot/build/px4_fmu-v5_default/generateElf.txt with error ‘\wsl.localhostubuntuhomexingPX4-Autopilotbuildpx4_fmu-v5_default’ CMD.EXE was started with the above path as the current directory. UNC paths are not supported. Defaulting to Windows directory. /opt/gcc-arm-none-eabi-9-2020-q2-update/bin/arm-none-eabi-g++ -mcpu=cortex-m7 -mthumb -mfpu=fpv5-d16 -mfloat-abi=hard -Os -DNDEBUG –specs=nosys.specs -nostartfiles -nodefaultlibs -nostdlib -nostdinc++ -fno-exceptions -fno-rtti -Wl,–script=/home/xing/PX4-Autopilot/boards/px4/fmu-v5/nuttx-config/scripts/script.ld -Wl,-Map=px4_fmu-v5_default.map -Wl,–warn-common -Wl,–gc-sections -Wl,–start-group NuttX/nuttx/boards/libboards.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/fs/libfs.a NuttX/nuttx/sched/libsched.a NuttX/nuttx/crypto/libcrypto.a NuttX/nuttx/binfmt/libbinfmt.a NuttX/nuttx/libs/libxx/libxx.a NuttX/apps/libapps.a NuttX/nuttx/arch/arm/src/libarch.a NuttX/nuttx/mm/libmm.a NuttX/nuttx/libs/libc/libc.a -Wl,–end-group -lm -lgcc -Wl,–print-memory-usage src/drivers/adc/ads1115/libdrivers__ads1115.a src/drivers/adc/board_adc/libdrivers__board_adc.a src/drivers/barometer/bmp280/libdrivers__barometer__bmp280.a src/drivers/barometer/bmp388/libdrivers__barometer__bmp388.a src/drivers/barometer/dps310/libdrivers__barometer__dps310.a src/drivers/barometer/goertek/spl06/libdrivers__barometer__spl06.a src/drivers/barometer/invensense/icp101xx/libdrivers__invensense__icp101xx.a src/drivers/barometer/invensense/icp201xx/libdrivers__invensense__icp201xx.a src/drivers/barometer/lps22hb/libdrivers__barometer__lps22hb.a src/drivers/barometer/lps33hw/libdrivers__barometer__lps33hw.a src/drivers/barometer/maiertek/mpc2520/libdrivers__maiertek__mpc2520.a src/drivers/barometer/ms5611/libdrivers__barometer__ms5611.a src/drivers/batt_smbus/libdrivers__batt_smbus.a src/drivers/camera_capture/libdrivers__camera_capture.a src/drivers/camera_trigger/libdrivers__camera_trigger.a src/drivers/differential_pressure/ms4525do/libdrivers__differential_pressure__ms4525do.a src/drivers/differential_pressure/ms5525dso/libdrivers__differential_pressure__ms5525dso.a src/drivers/differential_pressure/sdp3x/libdrivers__differential_pressure__sdp3x.a src/drivers/distance_sensor/cm8jl65/libdrivers__cm8jl65.a src/drivers/distance_sensor/gy_us42/libdrivers__distance_sensor__gy_us42.a src/drivers/distance_sensor/leddar_one/libdrivers__distance_sensor__leddar_one.a src/drivers/distance_sensor/lightware_laser_i2c/libdrivers__distance_sensor__lightware_laser_i2c.a src/drivers/distance_sensor/lightware_laser_serial/libdrivers__distance_sensor__lightware_laser_serial.a src/drivers/distance_sensor/ll40ls/libdrivers__ll40ls.a src/drivers/distance_sensor/ll40ls_pwm/libdrivers__ll40ls_pwm.a src/drivers/distance_sensor/mappydot/libdrivers__mappydot.a src/drivers/distance_sensor/mb12xx/libdrivers__mb12xx.a src/drivers/distance_sensor/pga460/libdrivers__pga460.a src/drivers/distance_sensor/srf02/libdrivers__distance_sensor__srf02.a src/drivers/distance_sensor/teraranger/libdrivers__distance_sensor__teraranger.a src/drivers/distance_sensor/tf02pro/libdrivers__distance_sensor__tf02pro.a src/drivers/distance_sensor/tfmini/libdrivers__tfmini.a src/drivers/distance_sensor/ulanding_radar/libdrivers__distance_sensor__ulanding_radar.a src/drivers/distance_sensor/vl53l0x/libdrivers__distance_sensor__vl53l0x.a src/drivers/distance_sensor/vl53l1x/libdrivers__distance_sensor__vl53l1x.a src/drivers/dshot/libdrivers__dshot.a src/drivers/gps/libdrivers__gps.a src/drivers/heater/libdrivers__heater.a src/drivers/hygrometer/sht3x/libdrivers__hygrometer__sht3x.a src/drivers/imu/analog_devices/adis16448/libdrivers__imu__analog_devices__adis16448.a src/drivers/imu/bosch/bmi055/libdrivers__imu__bosch__bmi055.a src/drivers/imu/invensense/icm20602/libdrivers__imu__invensense__icm20602.a src/drivers/imu/invensense/icm20689/libdrivers__imu__invensense__icm20689.a src/drivers/imu/invensense/icm20948/libdrivers__imu__invensense__icm20948.a src/drivers/imu/invensense/icm20948/libdrivers__imu__invensense__icm20948_i2c_passthrough.a src/drivers/imu/invensense/icm42688p/libdrivers__imu__invensense__icm42688p.a src/drivers/irlock/libdrivers__irlock.a src/drivers/lights/rgbled/libdrivers__rgbled.a src/drivers/lights/rgbled_is31fl3195/libdrivers__rgbled_is31fl3195.a src/drivers/lights/rgbled_lp5562/libdrivers__rgbled_lp5562.a src/drivers/lights/rgbled_ncp5623c/libdrivers__rgbled_ncp5623c.a src/drivers/lights/rgbled_pwm/libdrivers__rgbled_pwm.a src/drivers/magnetometer/akm/ak09916/libdrivers__magnetometer__akm__ak09916.a src/drivers/magnetometer/akm/ak8963/libdrivers__magnetometer__akm__ak8963.a src/drivers/magnetometer/bosch/bmm150/libdrivers__magnetometer__bosch__bmm150.a src/drivers/magnetometer/hmc5883/libdrivers__hmc5883.a src/drivers/magnetometer/isentek/ist8308/libdrivers__magnetometer__isentek__ist8308.a src/drivers/magnetometer/isentek/ist8310/libdrivers__magnetometer__isentek__ist8310.a src/drivers/magnetometer/lis2mdl/libdrivers__lis2mdl.a src/drivers/magnetometer/lis3mdl/libdrivers__magnetometer__lis3mdl.a src/drivers/magnetometer/lsm303agr/libdrivers__magnetometer__lsm303agr.a src/drivers/magnetometer/qmc5883l/libdrivers__magnetometer__qmc5883l.a src/drivers/magnetometer/rm3100/libdrivers__rm3100.a src/drivers/magnetometer/vtrantech/vcm1193l/libdrivers__magnetometer__vcm1193l.a src/drivers/optical_flow/paa3905/libdrivers__optical_flow__paa3905.a src/drivers/optical_flow/paw3902/libdrivers__optical_flow__paw3902.a src/drivers/optical_flow/pmw3901/libdrivers__optical_flow__pmw3901.a src/drivers/optical_flow/px4flow/libdrivers__px4flow.a src/drivers/optical_flow/thoneflow/libdrivers__thoneflow.a src/drivers/osd/atxxxx/libdrivers__atxxxx.a src/drivers/osd/msp_osd/libdrivers__osd__msp_osd.a src/drivers/pca9685_pwm_out/libdrivers__pca9685_pwm_out.a src/drivers/power_monitor/ina226/libdrivers__ina226.a src/drivers/pwm_input/libdrivers__pwm_input.a src/drivers/pwm_out/libdrivers__pwm_out.a src/drivers/px4io/libdrivers__px4io.a src/drivers/rc/crsf_rc/libdrivers__rc__crsf_rc.a src/drivers/rc_input/libdrivers__rc_input.a src/drivers/safety_button/libdrivers__safety_button.a src/drivers/smart_battery/batmon/libdrivers__batmon.a src/drivers/telemetry/bst/libdrivers__bst.a src/drivers/telemetry/frsky_telemetry/libdrivers__frsky_telemetry.a src/drivers/telemetry/hott/hott_sensors/libdrivers__hott__hott_sensors.a src/drivers/telemetry/hott/hott_telemetry/libdrivers__hott__hott_telemetry.a src/drivers/tone_alarm/libdrivers__tone_alarm.a src/drivers/uavcan/libdrivers__uavcan.a src/modules/airspeed_selector/libmodules__airspeed_selector.a src/modules/attitude_estimator_q/libmodules__attitude_estimator_q.a src/modules/battery_status/libmodules__battery_status.a src/modules/camera_feedback/libmodules__camera_feedback.a src/modules/commander/libmodules__commander.a src/modules/control_allocator/libmodules__control_allocator.a src/modules/dataman/libmodules__dataman.a src/modules/ekf2/libmodules__ekf2.a src/modules/esc_battery/libmodules__esc_battery.a src/modules/events/libmodules__events.a src/modules/flight_mode_manager/libmodules__flight_mode_manager.a src/modules/fw_att_control/libmodules__fw_att_control.a src/modules/fw_autotune_attitude_control/libfw_autotune_attitude_control.a src/modules/fw_pos_control/libmodules__fw_pos_control.a src/modules/fw_rate_control/libmodules__fw_rate_control.a src/modules/gimbal/libdrivers__gimbal.a src/modules/gyro_calibration/libmodules__gyro_calibration.a src/modules/land_detector/libmodules__land_detector.a src/modules/landing_target_estimator/libmodules__landing_target_estimator.a src/modules/load_mon/libmodules__load_mon.a src/modules/local_position_estimator/libmodules__local_position_estimator.a src/modules/logger/libmodules__logger.a src/modules/mag_bias_estimator/libmodules__mag_bias_estimator.a src/modules/manual_control/libmodule__manual_control.a src/modules/mavlink/libmodules__mavlink.a src/modules/mc_att_control/libmodules__mc_att_control.a src/modules/mc_autotune_attitude_control/libmc_autotune_attitude_control.a src/modules/mc_hover_thrust_estimator/libmodules__mc_hover_thrust_estimator.a src/modules/mc_pos_control/libmodules__mc_pos_control.a src/modules/mc_rate_control/libmodules__mc_rate_control.a src/modules/navigator/libmodules__navigator.a src/modules/px4_simulink_app/libmodules__px4_simulink_app.a src/modules/rc_update/libmodules__rc_update.a src/modules/rover_pos_control/libmodules__rover_pos_control.a src/modules/sensors/libmodules__sensors.a src/modules/simulation/pwm_out_sim/libmodules__simulation__pwm_out_sim.a src/modules/simulation/sensor_baro_sim/libmodules__simulation__sensor_baro_sim.a src/modules/simulation/sensor_gps_sim/libmodules__simulation__sensor_gps_sim.a src/modules/simulation/sensor_mag_sim/libmodules__simulation__senosr_mag_sim.a src/modules/simulation/simulator_sih/libmodules__simulation__simulator_sih.a src/modules/temperature_compensation/libmodules__temperature_compensation.a src/modules/uuv_att_control/libmodules__uuv_att_control.a src/modules/uuv_pos_control/libmodules__uuv_pos_control.a src/modules/uxrce_dds_client/libmodules__uxrce_dds_client.a src/modules/vtol_att_control/libmodules__vtol_att_control.a src/systemcmds/actuator_test/libsystemcmds__actuator_test.a src/systemcmds/bl_update/libsystemcmds__bl_update.a src/systemcmds/bsondump/libsystemcmds__bsondump.a src/systemcmds/dmesg/libsystemcmds__dmesg.a src/systemcmds/dumpfile/libsystemcmds__dumpfile.a src/systemcmds/gpio/libsystemcmds__gpio.a src/systemcmds/hardfault_log/libsystemcmds__hardfault_log.a src/systemcmds/i2cdetect/libsystemcmds__i2cdetect.a src/systemcmds/led_control/libsystemcmds__led_control.a src/systemcmds/mft/libsystemcmds__mft.a src/systemcmds/mtd/libsystemcmds__mtd.a src/systemcmds/nshterm/libsystemcmds__nshterm.a src/systemcmds/param/libsystemcmds__param.a src/systemcmds/perf/libsystemcmds__perf.a src/systemcmds/reboot/libsystemcmds__reboot.a src/systemcmds/reflect/libsystemcmds__reflect.a src/systemcmds/sd_bench/libsystemcmds__sd_bench.a src/systemcmds/sd_stress/libsystemcmds__sd_stress.a src/systemcmds/serial_test/libsystemcmds__serial_test.a src/systemcmds/system_time/libsystemcmds__system_time.a src/systemcmds/top/libsystemcmds__top.a src/systemcmds/topic_listener/libsystemcmds__topic_listener.a src/systemcmds/tune_control/libsystemcmds__tune_control.a src/systemcmds/uorb/libsystemcmds__uorb.a src/systemcmds/usb_connected/libsystemcmds__usb_connected.a src/systemcmds/ver/libsystemcmds__ver.a src/systemcmds/work_queue/libsystemcmds__work_queue.a src/examples/fake_gps/libmodules__fake_gps.a ROMFS/libromfs.a platforms/nuttx/src/px4/stm/stm32f7/dshot/libarch_dshot.a platforms/nuttx/src/px4/stm/stm32f7/led_pwm/libarch_led_pwm.a src/drivers/osd/msp_osd/MessageDisplay/libmessage_display.a platforms/nuttx/src/px4/stm/stm32f7/px4io_serial/libarch_px4io_serial.a src/lib/rc/librc.a src/lib/drivers/smbus/libdrivers__smbus.a src/lib/drivers/smbus_sbs/libdrivers__smbus_sbs.a src/drivers/telemetry/hott/libdrivers__hott.a platforms/nuttx/src/px4/stm/stm32f7/tone_alarm/libarch_tone_alarm.a src/lib/drivers/rangefinder/libdrivers_rangefinder.a src/lib/led/libled.a src/lib/button/libbutton_publisher.a src/drivers/uavcan/libuavcan_drivers/libuavcan_stm32_driver.a src/drivers/uavcan/libuavcan/libuavcan/libuavcan.a src/lib/wind_estimator/libwind_estimator.a src/modules/commander/failure_detector/libfailure_detector.a src/modules/commander/Arming/ArmAuthorization/libArmAuthorization.a src/modules/commander/Arming/ArmStateMachine/libArmStateMachine.a src/modules/commander/HealthAndArmingChecks/libhealth_and_arming_checks.a src/modules/commander/ModeUtil/libmode_util.a src/modules/commander/failsafe/libfailsafe.a src/modules/control_allocator/ActuatorEffectiveness/libActuatorEffectiveness.a src/modules/control_allocator/ControlAllocation/libControlAllocation.a src/lib/world_magnetic_model/libworld_magnetic_model.a src/modules/ekf2/Utility/libEKF2Utility.a src/lib/battery/libbattery.a src/modules/flight_mode_manager/tasks/Descend/libFlightTaskDescend.a src/modules/flight_mode_manager/tasks/Failsafe/libFlightTaskFailsafe.a src/modules/flight_mode_manager/tasks/ManualAcceleration/libFlightTaskManualAcceleration.a src/modules/flight_mode_manager/tasks/ManualPositionSmoothVel/libFlightTaskManualPositionSmoothVel.a src/modules/flight_mode_manager/tasks/ManualPosition/libFlightTaskManualPosition.a src/lib/collision_prevention/libCollisionPrevention.a src/modules/flight_mode_manager/tasks/Transition/libFlightTaskTransition.a src/modules/flight_mode_manager/tasks/AutoFollowTarget/libFlightTaskAutoFollowTarget.a src/modules/flight_mode_manager/tasks/Auto/libFlightTaskAuto.a src/lib/weather_vane/libWeatherVane.a src/lib/avoidance/libavoidance.a src/modules/flight_mode_manager/tasks/AutoFollowTarget/follow_target_estimator/libfollow_target_estimator.a src/modules/flight_mode_manager/tasks/Orbit/libFlightTaskOrbit.a src/modules/flight_mode_manager/tasks/ManualAltitudeSmoothVel/libFlightTaskManualAltitudeSmoothVel.a src/modules/flight_mode_manager/tasks/ManualAltitude/libFlightTaskManualAltitude.a src/modules/flight_mode_manager/tasks/Utility/libFlightTaskUtility.a src/modules/flight_mode_manager/tasks/FlightTask/libFlightTask.a src/lib/bezier/libbezier.a src/modules/fw_pos_control/launchdetection/liblaunchdetection.a src/lib/npfg/libnpfg.a src/modules/fw_pos_control/runway_takeoff/librunway_takeoff.a src/lib/tecs/libtecs.a src/modules/mc_att_control/AttitudeControl/libAttitudeControl.a src/lib/system_identification/libSystemIdentification.a src/modules/mc_hover_thrust_estimator/libzero_order_hover_thrust_ekf.a src/lib/slew_rate/libSlewRate.a src/lib/controllib/libcontrollib.a src/modules/mc_pos_control/PositionControl/libPositionControl.a src/modules/mc_pos_control/Takeoff/libTakeoff.a src/lib/rate_control/libRateControl.a src/modules/navigator/MissionFeasibility/libmission_feasibility_checker.a src/modules/navigator/libmodules__navigator.a src/modules/navigator/MissionFeasibility/libmission_feasibility_checker.a src/lib/motion_planning/libmotion_planning.a src/lib/adsb/libadsb.a src/modules/navigator/GeofenceBreachAvoidance/libgeofence_breach_avoidance.a src/modules/dataman/libmodules__dataman.a src/lib/hysteresis/libhysteresis.a src/lib/l1/libl1.a src/lib/pid/libpid.a src/lib/airspeed/libairspeed.a src/modules/sensors/vehicle_imu/libvehicle_imu.a src/modules/sensors/vehicle_acceleration/libvehicle_acceleration.a src/modules/sensors/vehicle_air_data/libvehicle_air_data.a src/modules/sensors/vehicle_angular_velocity/libvehicle_angular_velocity.a src/modules/sensors/vehicle_gps_position/libvehicle_gps_position.a src/modules/sensors/vehicle_magnetometer/libvehicle_magnetometer.a src/lib/sensor_calibration/libsensor_calibration.a src/modules/sensors/data_validator/libdata_validator.a src/modules/sensors/vehicle_optical_flow/libvehicle_optical_flow.a src/lib/mixer_module/libmixer_module.a src/lib/drivers/magnetometer/libdrivers_magnetometer.a src/lib/geo/libgeo.a src/lib/drivers/accelerometer/libdrivers_accelerometer.a src/lib/drivers/gyroscope/libdrivers_gyroscope.a src/lib/conversion/libconversion.a src/lib/mathlib/libmathlib.a src/lib/timesync/libtimesync.a src/modules/uxrce_dds_client/lib/libmicroxrcedds_client.a src/modules/uxrce_dds_client/lib/libmicrocdr.a src/lib/tunes/libtunes.a src/lib/circuit_breaker/libcircuit_breaker.a src/lib/version/libversion.a src/lib/systemlib/libsystemlib.a src/lib/parameters/libparameters.a src/lib/perf/libperf.a src/lib/tinybson/libtinybson.a src/lib/parameters/flashparams/libflashparams.a NuttX/nuttx/arch/arm/src/libarch.a boards/px4/fmu-v5/src/libdrivers_board.a platforms/nuttx/src/px4/stm/stm32f7/board_reset/libarch_board_reset.a platforms/nuttx/src/px4/common/libpx4_layer.a src/lib/drivers/device/libdrivers__device.a platforms/nuttx/src/px4/stm/stm32f7/io_pins/libarch_io_pins.a platforms/nuttx/src/px4/stm/stm32f7/spi/libarch_spi.a src/lib/drivers/led/libdrivers__led.a NuttX/nuttx/arch/arm/src/libarch.a boards/px4/fmu-v5/src/libdrivers_board.a platforms/nuttx/src/px4/stm/stm32f7/board_reset/libarch_board_reset.a platforms/nuttx/src/px4/common/libpx4_layer.a src/lib/drivers/device/libdrivers__device.a platforms/nuttx/src/px4/stm/stm32f7/io_pins/libarch_io_pins.a platforms/nuttx/src/px4/stm/stm32f7/spi/libarch_spi.a src/lib/drivers/led/libdrivers__led.a platforms/nuttx/src/px4/stm/stm32f7/hrt/libarch_hrt.a platforms/nuttx/src/px4/stm/stm32f7/board_hw_info/libarch_board_hw_info.a platforms/nuttx/src/px4/stm/stm32f7/adc/libarch_adc.a src/lib/crc/libcrc.a boards/px4/fmu-v5/src/libboard_bus_info.a platforms/common/libpx4_platform.a platforms/nuttx/src/px4/stm/stm32f7/board_critmon/libarch_board_critmon.a platforms/nuttx/src/px4/stm/stm32f7/version/libarch_version.a platforms/common/uORB/libuORB.a NuttX/nuttx/mm/libmm.a src/lib/cdev/libcdev.a NuttX/nuttx/fs/libfs.a msg/libuorb_msgs.a platforms/common/px4_work_queue/libpx4_work_queue.a NuttX/nuttx/libs/libxx/libxx.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/libs/libc/libc.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/libs/libc/libc.a NuttX/nuttx/sched/libsched.a -lm -lgcc -o px4_fmu-v5_default.elf Memory region Used Size Region Size %age Used FLASH_ITCM: 0 GB 2016 KB 0.00% FLASH_AXIM: 2064841 B 2016 KB100.02% ITCM_RAM: 0 GB 16 KB 0.00% DTCM_RAM: 0 GB 128 KB 0.00% SRAM1: 48472 B 368 KB 12.86% SRAM2: 0 GB 16 KB 0.00/opt/gcc-arm-none-eabi-9-2020-q2-update/bin/../lib/gcc/arm-none-eabi/9.3.1/../../../../arm-none-eabi/bin/ld: px4_fmu-v5_default.elf section `.data’ will not fit in region `FLASH_AXIM’ /opt/gcc-arm-none-eabi-9-2020-q2-update/bin/../lib/gcc/arm-none-eabi/9.3.1/../../../../arm-none-eabi/bin/ld: region `FLASH_AXIM’ overflowed by 457 bytes collect2: error: ld returned 1 exit status %
“`
In WSL2, after typing "arm-none-eabi-g++ –version", I have
“`
arm-none-eabi-g++ (GNU Arm Embedded Toolchain 9-2020-q2-update) 9.3.1 20200408 (release)
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
“`
How should I resolve this problem? Thanks. Windows 10
MATLAB R2024a
Pixhawk 4
PX4 v1.14.0
I am following the tutorial Getting Started with uORB Blocks for PX4 Autopilots Support Package. I get stuct at Step 14 (Monitor & Tune). The error messages are as follows
“`
Error:Generating ELF failed for command source /mnt/c/ProgramData/MATLAB/SupportPackages/R2024a/toolbox/target/supportpackages/px4/lib/scripts/executeCommandFromText.sh /home/xing/PX4-Autopilot/build/px4_fmu-v5_default/generateElf.txt with error ‘\wsl.localhostubuntuhomexingPX4-Autopilotbuildpx4_fmu-v5_default’ CMD.EXE was started with the above path as the current directory. UNC paths are not supported. Defaulting to Windows directory. /opt/gcc-arm-none-eabi-9-2020-q2-update/bin/arm-none-eabi-g++ -mcpu=cortex-m7 -mthumb -mfpu=fpv5-d16 -mfloat-abi=hard -Os -DNDEBUG –specs=nosys.specs -nostartfiles -nodefaultlibs -nostdlib -nostdinc++ -fno-exceptions -fno-rtti -Wl,–script=/home/xing/PX4-Autopilot/boards/px4/fmu-v5/nuttx-config/scripts/script.ld -Wl,-Map=px4_fmu-v5_default.map -Wl,–warn-common -Wl,–gc-sections -Wl,–start-group NuttX/nuttx/boards/libboards.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/fs/libfs.a NuttX/nuttx/sched/libsched.a NuttX/nuttx/crypto/libcrypto.a NuttX/nuttx/binfmt/libbinfmt.a NuttX/nuttx/libs/libxx/libxx.a NuttX/apps/libapps.a NuttX/nuttx/arch/arm/src/libarch.a NuttX/nuttx/mm/libmm.a NuttX/nuttx/libs/libc/libc.a -Wl,–end-group -lm -lgcc -Wl,–print-memory-usage src/drivers/adc/ads1115/libdrivers__ads1115.a src/drivers/adc/board_adc/libdrivers__board_adc.a src/drivers/barometer/bmp280/libdrivers__barometer__bmp280.a src/drivers/barometer/bmp388/libdrivers__barometer__bmp388.a src/drivers/barometer/dps310/libdrivers__barometer__dps310.a src/drivers/barometer/goertek/spl06/libdrivers__barometer__spl06.a src/drivers/barometer/invensense/icp101xx/libdrivers__invensense__icp101xx.a src/drivers/barometer/invensense/icp201xx/libdrivers__invensense__icp201xx.a src/drivers/barometer/lps22hb/libdrivers__barometer__lps22hb.a src/drivers/barometer/lps33hw/libdrivers__barometer__lps33hw.a src/drivers/barometer/maiertek/mpc2520/libdrivers__maiertek__mpc2520.a src/drivers/barometer/ms5611/libdrivers__barometer__ms5611.a src/drivers/batt_smbus/libdrivers__batt_smbus.a src/drivers/camera_capture/libdrivers__camera_capture.a src/drivers/camera_trigger/libdrivers__camera_trigger.a src/drivers/differential_pressure/ms4525do/libdrivers__differential_pressure__ms4525do.a src/drivers/differential_pressure/ms5525dso/libdrivers__differential_pressure__ms5525dso.a src/drivers/differential_pressure/sdp3x/libdrivers__differential_pressure__sdp3x.a src/drivers/distance_sensor/cm8jl65/libdrivers__cm8jl65.a src/drivers/distance_sensor/gy_us42/libdrivers__distance_sensor__gy_us42.a src/drivers/distance_sensor/leddar_one/libdrivers__distance_sensor__leddar_one.a src/drivers/distance_sensor/lightware_laser_i2c/libdrivers__distance_sensor__lightware_laser_i2c.a src/drivers/distance_sensor/lightware_laser_serial/libdrivers__distance_sensor__lightware_laser_serial.a src/drivers/distance_sensor/ll40ls/libdrivers__ll40ls.a src/drivers/distance_sensor/ll40ls_pwm/libdrivers__ll40ls_pwm.a src/drivers/distance_sensor/mappydot/libdrivers__mappydot.a src/drivers/distance_sensor/mb12xx/libdrivers__mb12xx.a src/drivers/distance_sensor/pga460/libdrivers__pga460.a src/drivers/distance_sensor/srf02/libdrivers__distance_sensor__srf02.a src/drivers/distance_sensor/teraranger/libdrivers__distance_sensor__teraranger.a src/drivers/distance_sensor/tf02pro/libdrivers__distance_sensor__tf02pro.a src/drivers/distance_sensor/tfmini/libdrivers__tfmini.a src/drivers/distance_sensor/ulanding_radar/libdrivers__distance_sensor__ulanding_radar.a src/drivers/distance_sensor/vl53l0x/libdrivers__distance_sensor__vl53l0x.a src/drivers/distance_sensor/vl53l1x/libdrivers__distance_sensor__vl53l1x.a src/drivers/dshot/libdrivers__dshot.a src/drivers/gps/libdrivers__gps.a src/drivers/heater/libdrivers__heater.a src/drivers/hygrometer/sht3x/libdrivers__hygrometer__sht3x.a src/drivers/imu/analog_devices/adis16448/libdrivers__imu__analog_devices__adis16448.a src/drivers/imu/bosch/bmi055/libdrivers__imu__bosch__bmi055.a src/drivers/imu/invensense/icm20602/libdrivers__imu__invensense__icm20602.a src/drivers/imu/invensense/icm20689/libdrivers__imu__invensense__icm20689.a src/drivers/imu/invensense/icm20948/libdrivers__imu__invensense__icm20948.a src/drivers/imu/invensense/icm20948/libdrivers__imu__invensense__icm20948_i2c_passthrough.a src/drivers/imu/invensense/icm42688p/libdrivers__imu__invensense__icm42688p.a src/drivers/irlock/libdrivers__irlock.a src/drivers/lights/rgbled/libdrivers__rgbled.a src/drivers/lights/rgbled_is31fl3195/libdrivers__rgbled_is31fl3195.a src/drivers/lights/rgbled_lp5562/libdrivers__rgbled_lp5562.a src/drivers/lights/rgbled_ncp5623c/libdrivers__rgbled_ncp5623c.a src/drivers/lights/rgbled_pwm/libdrivers__rgbled_pwm.a src/drivers/magnetometer/akm/ak09916/libdrivers__magnetometer__akm__ak09916.a src/drivers/magnetometer/akm/ak8963/libdrivers__magnetometer__akm__ak8963.a src/drivers/magnetometer/bosch/bmm150/libdrivers__magnetometer__bosch__bmm150.a src/drivers/magnetometer/hmc5883/libdrivers__hmc5883.a src/drivers/magnetometer/isentek/ist8308/libdrivers__magnetometer__isentek__ist8308.a src/drivers/magnetometer/isentek/ist8310/libdrivers__magnetometer__isentek__ist8310.a src/drivers/magnetometer/lis2mdl/libdrivers__lis2mdl.a src/drivers/magnetometer/lis3mdl/libdrivers__magnetometer__lis3mdl.a src/drivers/magnetometer/lsm303agr/libdrivers__magnetometer__lsm303agr.a src/drivers/magnetometer/qmc5883l/libdrivers__magnetometer__qmc5883l.a src/drivers/magnetometer/rm3100/libdrivers__rm3100.a src/drivers/magnetometer/vtrantech/vcm1193l/libdrivers__magnetometer__vcm1193l.a src/drivers/optical_flow/paa3905/libdrivers__optical_flow__paa3905.a src/drivers/optical_flow/paw3902/libdrivers__optical_flow__paw3902.a src/drivers/optical_flow/pmw3901/libdrivers__optical_flow__pmw3901.a src/drivers/optical_flow/px4flow/libdrivers__px4flow.a src/drivers/optical_flow/thoneflow/libdrivers__thoneflow.a src/drivers/osd/atxxxx/libdrivers__atxxxx.a src/drivers/osd/msp_osd/libdrivers__osd__msp_osd.a src/drivers/pca9685_pwm_out/libdrivers__pca9685_pwm_out.a src/drivers/power_monitor/ina226/libdrivers__ina226.a src/drivers/pwm_input/libdrivers__pwm_input.a src/drivers/pwm_out/libdrivers__pwm_out.a src/drivers/px4io/libdrivers__px4io.a src/drivers/rc/crsf_rc/libdrivers__rc__crsf_rc.a src/drivers/rc_input/libdrivers__rc_input.a src/drivers/safety_button/libdrivers__safety_button.a src/drivers/smart_battery/batmon/libdrivers__batmon.a src/drivers/telemetry/bst/libdrivers__bst.a src/drivers/telemetry/frsky_telemetry/libdrivers__frsky_telemetry.a src/drivers/telemetry/hott/hott_sensors/libdrivers__hott__hott_sensors.a src/drivers/telemetry/hott/hott_telemetry/libdrivers__hott__hott_telemetry.a src/drivers/tone_alarm/libdrivers__tone_alarm.a src/drivers/uavcan/libdrivers__uavcan.a src/modules/airspeed_selector/libmodules__airspeed_selector.a src/modules/attitude_estimator_q/libmodules__attitude_estimator_q.a src/modules/battery_status/libmodules__battery_status.a src/modules/camera_feedback/libmodules__camera_feedback.a src/modules/commander/libmodules__commander.a src/modules/control_allocator/libmodules__control_allocator.a src/modules/dataman/libmodules__dataman.a src/modules/ekf2/libmodules__ekf2.a src/modules/esc_battery/libmodules__esc_battery.a src/modules/events/libmodules__events.a src/modules/flight_mode_manager/libmodules__flight_mode_manager.a src/modules/fw_att_control/libmodules__fw_att_control.a src/modules/fw_autotune_attitude_control/libfw_autotune_attitude_control.a src/modules/fw_pos_control/libmodules__fw_pos_control.a src/modules/fw_rate_control/libmodules__fw_rate_control.a src/modules/gimbal/libdrivers__gimbal.a src/modules/gyro_calibration/libmodules__gyro_calibration.a src/modules/land_detector/libmodules__land_detector.a src/modules/landing_target_estimator/libmodules__landing_target_estimator.a src/modules/load_mon/libmodules__load_mon.a src/modules/local_position_estimator/libmodules__local_position_estimator.a src/modules/logger/libmodules__logger.a src/modules/mag_bias_estimator/libmodules__mag_bias_estimator.a src/modules/manual_control/libmodule__manual_control.a src/modules/mavlink/libmodules__mavlink.a src/modules/mc_att_control/libmodules__mc_att_control.a src/modules/mc_autotune_attitude_control/libmc_autotune_attitude_control.a src/modules/mc_hover_thrust_estimator/libmodules__mc_hover_thrust_estimator.a src/modules/mc_pos_control/libmodules__mc_pos_control.a src/modules/mc_rate_control/libmodules__mc_rate_control.a src/modules/navigator/libmodules__navigator.a src/modules/px4_simulink_app/libmodules__px4_simulink_app.a src/modules/rc_update/libmodules__rc_update.a src/modules/rover_pos_control/libmodules__rover_pos_control.a src/modules/sensors/libmodules__sensors.a src/modules/simulation/pwm_out_sim/libmodules__simulation__pwm_out_sim.a src/modules/simulation/sensor_baro_sim/libmodules__simulation__sensor_baro_sim.a src/modules/simulation/sensor_gps_sim/libmodules__simulation__sensor_gps_sim.a src/modules/simulation/sensor_mag_sim/libmodules__simulation__senosr_mag_sim.a src/modules/simulation/simulator_sih/libmodules__simulation__simulator_sih.a src/modules/temperature_compensation/libmodules__temperature_compensation.a src/modules/uuv_att_control/libmodules__uuv_att_control.a src/modules/uuv_pos_control/libmodules__uuv_pos_control.a src/modules/uxrce_dds_client/libmodules__uxrce_dds_client.a src/modules/vtol_att_control/libmodules__vtol_att_control.a src/systemcmds/actuator_test/libsystemcmds__actuator_test.a src/systemcmds/bl_update/libsystemcmds__bl_update.a src/systemcmds/bsondump/libsystemcmds__bsondump.a src/systemcmds/dmesg/libsystemcmds__dmesg.a src/systemcmds/dumpfile/libsystemcmds__dumpfile.a src/systemcmds/gpio/libsystemcmds__gpio.a src/systemcmds/hardfault_log/libsystemcmds__hardfault_log.a src/systemcmds/i2cdetect/libsystemcmds__i2cdetect.a src/systemcmds/led_control/libsystemcmds__led_control.a src/systemcmds/mft/libsystemcmds__mft.a src/systemcmds/mtd/libsystemcmds__mtd.a src/systemcmds/nshterm/libsystemcmds__nshterm.a src/systemcmds/param/libsystemcmds__param.a src/systemcmds/perf/libsystemcmds__perf.a src/systemcmds/reboot/libsystemcmds__reboot.a src/systemcmds/reflect/libsystemcmds__reflect.a src/systemcmds/sd_bench/libsystemcmds__sd_bench.a src/systemcmds/sd_stress/libsystemcmds__sd_stress.a src/systemcmds/serial_test/libsystemcmds__serial_test.a src/systemcmds/system_time/libsystemcmds__system_time.a src/systemcmds/top/libsystemcmds__top.a src/systemcmds/topic_listener/libsystemcmds__topic_listener.a src/systemcmds/tune_control/libsystemcmds__tune_control.a src/systemcmds/uorb/libsystemcmds__uorb.a src/systemcmds/usb_connected/libsystemcmds__usb_connected.a src/systemcmds/ver/libsystemcmds__ver.a src/systemcmds/work_queue/libsystemcmds__work_queue.a src/examples/fake_gps/libmodules__fake_gps.a ROMFS/libromfs.a platforms/nuttx/src/px4/stm/stm32f7/dshot/libarch_dshot.a platforms/nuttx/src/px4/stm/stm32f7/led_pwm/libarch_led_pwm.a src/drivers/osd/msp_osd/MessageDisplay/libmessage_display.a platforms/nuttx/src/px4/stm/stm32f7/px4io_serial/libarch_px4io_serial.a src/lib/rc/librc.a src/lib/drivers/smbus/libdrivers__smbus.a src/lib/drivers/smbus_sbs/libdrivers__smbus_sbs.a src/drivers/telemetry/hott/libdrivers__hott.a platforms/nuttx/src/px4/stm/stm32f7/tone_alarm/libarch_tone_alarm.a src/lib/drivers/rangefinder/libdrivers_rangefinder.a src/lib/led/libled.a src/lib/button/libbutton_publisher.a src/drivers/uavcan/libuavcan_drivers/libuavcan_stm32_driver.a src/drivers/uavcan/libuavcan/libuavcan/libuavcan.a src/lib/wind_estimator/libwind_estimator.a src/modules/commander/failure_detector/libfailure_detector.a src/modules/commander/Arming/ArmAuthorization/libArmAuthorization.a src/modules/commander/Arming/ArmStateMachine/libArmStateMachine.a src/modules/commander/HealthAndArmingChecks/libhealth_and_arming_checks.a src/modules/commander/ModeUtil/libmode_util.a src/modules/commander/failsafe/libfailsafe.a src/modules/control_allocator/ActuatorEffectiveness/libActuatorEffectiveness.a src/modules/control_allocator/ControlAllocation/libControlAllocation.a src/lib/world_magnetic_model/libworld_magnetic_model.a src/modules/ekf2/Utility/libEKF2Utility.a src/lib/battery/libbattery.a src/modules/flight_mode_manager/tasks/Descend/libFlightTaskDescend.a src/modules/flight_mode_manager/tasks/Failsafe/libFlightTaskFailsafe.a src/modules/flight_mode_manager/tasks/ManualAcceleration/libFlightTaskManualAcceleration.a src/modules/flight_mode_manager/tasks/ManualPositionSmoothVel/libFlightTaskManualPositionSmoothVel.a src/modules/flight_mode_manager/tasks/ManualPosition/libFlightTaskManualPosition.a src/lib/collision_prevention/libCollisionPrevention.a src/modules/flight_mode_manager/tasks/Transition/libFlightTaskTransition.a src/modules/flight_mode_manager/tasks/AutoFollowTarget/libFlightTaskAutoFollowTarget.a src/modules/flight_mode_manager/tasks/Auto/libFlightTaskAuto.a src/lib/weather_vane/libWeatherVane.a src/lib/avoidance/libavoidance.a src/modules/flight_mode_manager/tasks/AutoFollowTarget/follow_target_estimator/libfollow_target_estimator.a src/modules/flight_mode_manager/tasks/Orbit/libFlightTaskOrbit.a src/modules/flight_mode_manager/tasks/ManualAltitudeSmoothVel/libFlightTaskManualAltitudeSmoothVel.a src/modules/flight_mode_manager/tasks/ManualAltitude/libFlightTaskManualAltitude.a src/modules/flight_mode_manager/tasks/Utility/libFlightTaskUtility.a src/modules/flight_mode_manager/tasks/FlightTask/libFlightTask.a src/lib/bezier/libbezier.a src/modules/fw_pos_control/launchdetection/liblaunchdetection.a src/lib/npfg/libnpfg.a src/modules/fw_pos_control/runway_takeoff/librunway_takeoff.a src/lib/tecs/libtecs.a src/modules/mc_att_control/AttitudeControl/libAttitudeControl.a src/lib/system_identification/libSystemIdentification.a src/modules/mc_hover_thrust_estimator/libzero_order_hover_thrust_ekf.a src/lib/slew_rate/libSlewRate.a src/lib/controllib/libcontrollib.a src/modules/mc_pos_control/PositionControl/libPositionControl.a src/modules/mc_pos_control/Takeoff/libTakeoff.a src/lib/rate_control/libRateControl.a src/modules/navigator/MissionFeasibility/libmission_feasibility_checker.a src/modules/navigator/libmodules__navigator.a src/modules/navigator/MissionFeasibility/libmission_feasibility_checker.a src/lib/motion_planning/libmotion_planning.a src/lib/adsb/libadsb.a src/modules/navigator/GeofenceBreachAvoidance/libgeofence_breach_avoidance.a src/modules/dataman/libmodules__dataman.a src/lib/hysteresis/libhysteresis.a src/lib/l1/libl1.a src/lib/pid/libpid.a src/lib/airspeed/libairspeed.a src/modules/sensors/vehicle_imu/libvehicle_imu.a src/modules/sensors/vehicle_acceleration/libvehicle_acceleration.a src/modules/sensors/vehicle_air_data/libvehicle_air_data.a src/modules/sensors/vehicle_angular_velocity/libvehicle_angular_velocity.a src/modules/sensors/vehicle_gps_position/libvehicle_gps_position.a src/modules/sensors/vehicle_magnetometer/libvehicle_magnetometer.a src/lib/sensor_calibration/libsensor_calibration.a src/modules/sensors/data_validator/libdata_validator.a src/modules/sensors/vehicle_optical_flow/libvehicle_optical_flow.a src/lib/mixer_module/libmixer_module.a src/lib/drivers/magnetometer/libdrivers_magnetometer.a src/lib/geo/libgeo.a src/lib/drivers/accelerometer/libdrivers_accelerometer.a src/lib/drivers/gyroscope/libdrivers_gyroscope.a src/lib/conversion/libconversion.a src/lib/mathlib/libmathlib.a src/lib/timesync/libtimesync.a src/modules/uxrce_dds_client/lib/libmicroxrcedds_client.a src/modules/uxrce_dds_client/lib/libmicrocdr.a src/lib/tunes/libtunes.a src/lib/circuit_breaker/libcircuit_breaker.a src/lib/version/libversion.a src/lib/systemlib/libsystemlib.a src/lib/parameters/libparameters.a src/lib/perf/libperf.a src/lib/tinybson/libtinybson.a src/lib/parameters/flashparams/libflashparams.a NuttX/nuttx/arch/arm/src/libarch.a boards/px4/fmu-v5/src/libdrivers_board.a platforms/nuttx/src/px4/stm/stm32f7/board_reset/libarch_board_reset.a platforms/nuttx/src/px4/common/libpx4_layer.a src/lib/drivers/device/libdrivers__device.a platforms/nuttx/src/px4/stm/stm32f7/io_pins/libarch_io_pins.a platforms/nuttx/src/px4/stm/stm32f7/spi/libarch_spi.a src/lib/drivers/led/libdrivers__led.a NuttX/nuttx/arch/arm/src/libarch.a boards/px4/fmu-v5/src/libdrivers_board.a platforms/nuttx/src/px4/stm/stm32f7/board_reset/libarch_board_reset.a platforms/nuttx/src/px4/common/libpx4_layer.a src/lib/drivers/device/libdrivers__device.a platforms/nuttx/src/px4/stm/stm32f7/io_pins/libarch_io_pins.a platforms/nuttx/src/px4/stm/stm32f7/spi/libarch_spi.a src/lib/drivers/led/libdrivers__led.a platforms/nuttx/src/px4/stm/stm32f7/hrt/libarch_hrt.a platforms/nuttx/src/px4/stm/stm32f7/board_hw_info/libarch_board_hw_info.a platforms/nuttx/src/px4/stm/stm32f7/adc/libarch_adc.a src/lib/crc/libcrc.a boards/px4/fmu-v5/src/libboard_bus_info.a platforms/common/libpx4_platform.a platforms/nuttx/src/px4/stm/stm32f7/board_critmon/libarch_board_critmon.a platforms/nuttx/src/px4/stm/stm32f7/version/libarch_version.a platforms/common/uORB/libuORB.a NuttX/nuttx/mm/libmm.a src/lib/cdev/libcdev.a NuttX/nuttx/fs/libfs.a msg/libuorb_msgs.a platforms/common/px4_work_queue/libpx4_work_queue.a NuttX/nuttx/libs/libxx/libxx.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/libs/libc/libc.a NuttX/nuttx/drivers/libdrivers.a NuttX/nuttx/libs/libc/libc.a NuttX/nuttx/sched/libsched.a -lm -lgcc -o px4_fmu-v5_default.elf Memory region Used Size Region Size %age Used FLASH_ITCM: 0 GB 2016 KB 0.00% FLASH_AXIM: 2064841 B 2016 KB100.02% ITCM_RAM: 0 GB 16 KB 0.00% DTCM_RAM: 0 GB 128 KB 0.00% SRAM1: 48472 B 368 KB 12.86% SRAM2: 0 GB 16 KB 0.00/opt/gcc-arm-none-eabi-9-2020-q2-update/bin/../lib/gcc/arm-none-eabi/9.3.1/../../../../arm-none-eabi/bin/ld: px4_fmu-v5_default.elf section `.data’ will not fit in region `FLASH_AXIM’ /opt/gcc-arm-none-eabi-9-2020-q2-update/bin/../lib/gcc/arm-none-eabi/9.3.1/../../../../arm-none-eabi/bin/ld: region `FLASH_AXIM’ overflowed by 457 bytes collect2: error: ld returned 1 exit status %
“`
In WSL2, after typing "arm-none-eabi-g++ –version", I have
“`
arm-none-eabi-g++ (GNU Arm Embedded Toolchain 9-2020-q2-update) 9.3.1 20200408 (release)
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
“`
How should I resolve this problem? Thanks. simulink, pixhawk, px4 MATLAB Answers — New Questions
Is there anyway to convert vibration acceleration data into velocity ?
How can I convert the vibration acceleration data collected in real time to velocity ?
I know the relation is to integrate the data but my system requires real time velocity monitoring.
I appreciate your reply.
Thanks in advanceHow can I convert the vibration acceleration data collected in real time to velocity ?
I know the relation is to integrate the data but my system requires real time velocity monitoring.
I appreciate your reply.
Thanks in advance How can I convert the vibration acceleration data collected in real time to velocity ?
I know the relation is to integrate the data but my system requires real time velocity monitoring.
I appreciate your reply.
Thanks in advance vibration MATLAB Answers — New Questions
Need help while defining ode function for bvp4c/bvp5c/ode45 solve
I wanted to define system of ode functions for my higher order problems. I have differential equations are :
x=cosy
z=siny
y’=sqrt((lambda*f*p*siny/x)+(siny^2/x^2)-(2/lambda^2)+(2*cosy/lambda)-(3*a*p^2*lambda^2/2))
y"=(-y’*x’/lambda*x)-(cosy/x)-(f*p’/4)-(f*x’*p/4*x)+(y’*cosy/x)+(siny/lambda)+(lambda*f*p*cosy/4*x)+(siny*cosy/x^2)+(mu_1*(sin(y) – mu_2*cos(y)) / (2 * x^2)
where, y,x,p are functions of s. and f,lambda and a are constants.
while defining ode function for my bvp solve, I write the code as
function dydx = odefun2(t, y, params)
lambda = params.lambda;
a = params.a;
f = params.f;
mu_1=params.mu_1;
mu_2=params.mu_2;
y1 = y(1); % y
y2 = y(2); % x
y3 = y(3); % z
y4 = y(4); % p
y5 = y(5); % p_dot
y6 = cos(y1); %x_dot
y7 = sin(y1); %z_dot
ydot = sqrt((lambda * f * y4 * sin(y1) / y2) + (sin(y1)^2 / y2^2) – (2 / lambda^2) + (2 * cos(y1) / lambda) – (3 * a * (y4^2) * lambda^2)/2);
yddot = -((ydot * cos(y1) / (lambda * y2))) – (cos(y1) / y2) – (0.5 * y5 / 4) – (0.5 *cos(y1) * y4 / (4 * y2)) + (ydot * cos(y1) / y2) + (sin(y1) / lambda) + (0.5 * lambda * y4 * cos(y1) / (4 * y2)) + (sin(y1) * cos(y1) / y2^2) + (mu_1*(sin(y1) – mu_2*cos(y1)) / (2 * y2));
dydx = [y5; y6; y7; ydot; yddot];
end
But I have no equation for p’. And I am not sure that how can I relate x and z with x’ and z’ respectively. Also I don’t have any differential equation for p’. how I should relate p and p’?
need some suggestions.I wanted to define system of ode functions for my higher order problems. I have differential equations are :
x=cosy
z=siny
y’=sqrt((lambda*f*p*siny/x)+(siny^2/x^2)-(2/lambda^2)+(2*cosy/lambda)-(3*a*p^2*lambda^2/2))
y"=(-y’*x’/lambda*x)-(cosy/x)-(f*p’/4)-(f*x’*p/4*x)+(y’*cosy/x)+(siny/lambda)+(lambda*f*p*cosy/4*x)+(siny*cosy/x^2)+(mu_1*(sin(y) – mu_2*cos(y)) / (2 * x^2)
where, y,x,p are functions of s. and f,lambda and a are constants.
while defining ode function for my bvp solve, I write the code as
function dydx = odefun2(t, y, params)
lambda = params.lambda;
a = params.a;
f = params.f;
mu_1=params.mu_1;
mu_2=params.mu_2;
y1 = y(1); % y
y2 = y(2); % x
y3 = y(3); % z
y4 = y(4); % p
y5 = y(5); % p_dot
y6 = cos(y1); %x_dot
y7 = sin(y1); %z_dot
ydot = sqrt((lambda * f * y4 * sin(y1) / y2) + (sin(y1)^2 / y2^2) – (2 / lambda^2) + (2 * cos(y1) / lambda) – (3 * a * (y4^2) * lambda^2)/2);
yddot = -((ydot * cos(y1) / (lambda * y2))) – (cos(y1) / y2) – (0.5 * y5 / 4) – (0.5 *cos(y1) * y4 / (4 * y2)) + (ydot * cos(y1) / y2) + (sin(y1) / lambda) + (0.5 * lambda * y4 * cos(y1) / (4 * y2)) + (sin(y1) * cos(y1) / y2^2) + (mu_1*(sin(y1) – mu_2*cos(y1)) / (2 * y2));
dydx = [y5; y6; y7; ydot; yddot];
end
But I have no equation for p’. And I am not sure that how can I relate x and z with x’ and z’ respectively. Also I don’t have any differential equation for p’. how I should relate p and p’?
need some suggestions. I wanted to define system of ode functions for my higher order problems. I have differential equations are :
x=cosy
z=siny
y’=sqrt((lambda*f*p*siny/x)+(siny^2/x^2)-(2/lambda^2)+(2*cosy/lambda)-(3*a*p^2*lambda^2/2))
y"=(-y’*x’/lambda*x)-(cosy/x)-(f*p’/4)-(f*x’*p/4*x)+(y’*cosy/x)+(siny/lambda)+(lambda*f*p*cosy/4*x)+(siny*cosy/x^2)+(mu_1*(sin(y) – mu_2*cos(y)) / (2 * x^2)
where, y,x,p are functions of s. and f,lambda and a are constants.
while defining ode function for my bvp solve, I write the code as
function dydx = odefun2(t, y, params)
lambda = params.lambda;
a = params.a;
f = params.f;
mu_1=params.mu_1;
mu_2=params.mu_2;
y1 = y(1); % y
y2 = y(2); % x
y3 = y(3); % z
y4 = y(4); % p
y5 = y(5); % p_dot
y6 = cos(y1); %x_dot
y7 = sin(y1); %z_dot
ydot = sqrt((lambda * f * y4 * sin(y1) / y2) + (sin(y1)^2 / y2^2) – (2 / lambda^2) + (2 * cos(y1) / lambda) – (3 * a * (y4^2) * lambda^2)/2);
yddot = -((ydot * cos(y1) / (lambda * y2))) – (cos(y1) / y2) – (0.5 * y5 / 4) – (0.5 *cos(y1) * y4 / (4 * y2)) + (ydot * cos(y1) / y2) + (sin(y1) / lambda) + (0.5 * lambda * y4 * cos(y1) / (4 * y2)) + (sin(y1) * cos(y1) / y2^2) + (mu_1*(sin(y1) – mu_2*cos(y1)) / (2 * y2));
dydx = [y5; y6; y7; ydot; yddot];
end
But I have no equation for p’. And I am not sure that how can I relate x and z with x’ and z’ respectively. Also I don’t have any differential equation for p’. how I should relate p and p’?
need some suggestions. bvp5c, bvp4c, ode45, ode MATLAB Answers — New Questions
Mismatched Stability check.
I have system of two equations. I solved the model – variable k and t for each value of parameter m, between 0 and 1, and checked for stability of solution. I got all solution as stable
% Define the equations as anonymous functions
eq1 = @(vars, m) (sqrt(vars(1))/sqrt(1-vars(1))) + ((vars(2)*(2*(m^3) + vars(2)^3 – 3*vars(2)*((m+1)^2))^2)/(6*vars(2) – 3*((m-vars(2))^2)) + ((m-vars(2))^2)*(m+2*vars(2))*(m/(3*vars(2)) + 2/3)) / ((m^3 – (vars(2)^2)*(3*m+3) + 2*(vars(2)^3))*(m/(3*vars(2)) – (2*m+vars(2))/(3*(2*vars(2)-((m-vars(2))^2))) + 2/3) – vars(2)*((m-vars(2))^2)*(2*m+vars(2))*((2*m/3) + vars(2)/3));
eq2 = @(vars, m) vars(2) – ((sqrt(vars(1))/sqrt(1-vars(1)))*(((m/vars(2))+2)/3) – (1/3)*(2 + (m/vars(2)) + ((2*m+vars(2))/(((m-vars(2))^2)-2*vars(2))))) / ((sqrt(vars(1))/sqrt(1-vars(1)))*(2*(m^3) – 3*((1+m)^2)*vars(2) + vars(2)^3)/(3*(((m-vars(2))^2)-2*vars(2))) – ((2*m+vars(2))/3));
% Range of m values
m_values = linspace(0, 1, 100); % 100 values of m between 0 and 1
% Preallocate arrays to store solutions
k_solutions = zeros(size(m_values));
t_solutions = zeros(size(m_values));
stabilities = cell(size(m_values));
% Loop over m values and solve the system of equations for each m
for i = 1:length(m_values)
m = m_values(i);
% System of equations for current m
system_of_equations = @(vars) [eq1(vars, m); eq2(vars, m)];
% Initial guess for [k, t]
initial_guess = [0.75, 1.5];
% Solve the system of equations using fsolve
options = optimoptions(‘fsolve’, ‘Display’, ‘off’);
solution = fsolve(system_of_equations, initial_guess, options);
% Store solutions if they meet the criteria
k_solution = solution(1);
t_solution = solution(2);
if k_solution > 0.5 && k_solution < 1 && t_solution > 0
k_solutions(i) = k_solution;
t_solutions(i) = t_solution;
% Compute the Jacobian matrix
J = [diff(eq1([k_solution, t_solution], m), 1, 1), diff(eq1([k_solution, t_solution], m), 1, 2);
diff(eq2([k_solution, t_solution], m), 1, 1), diff(eq2([k_solution, t_solution], m), 1, 2)];
% Calculate eigenvalues of the Jacobian matrix
eigenvalues = eig(J);
% Analyze stability
if all(real(eigenvalues) < 0)
stabilities{i} = ‘Stable’;
elseif all(real(eigenvalues) == 0)
% Use center manifold method for stability analysis
% Modify this part with your center manifold method implementation
stabilities{i} = ‘Center manifold method’;
elseif any(real(eigenvalues) > 0)
stabilities{i} = ‘Unstable’;
end
else
k_solutions(i) = NaN;
t_solutions(i) = NaN;
stabilities{i} = ‘NaN’;
end
end
% Display solutions and stabilities
disp(‘Solutions for each m:’);
for i = 1:length(m_values)
fprintf(‘m = %.2f, k = %.4f, t = %.4f, Stability = %sn’, m_values(i), k_solutions(i), t_solutions(i), stabilities{i});
end
Now, the problem arose when I took k as an exogenous variable. When I input the value of k say 0.6945 (In above code, I got one of the solution as for m=0.38 I had k=0.6945 and t =1.82 and it was stable), I got value of t as 1.82 against m=0.38, as should be. But now this solution is unstable. Why? Can anyone help me why I am getting it stable in above code. While it is unstable in below. Please help
% Define the range of m values
m_values = linspace(0, 1, 100); % Adjust the number of points for higher accuracy
% Define the value of k
k = 0.6945;
% Initialize cell arrays to store fixed points and their stability
fixed_points = cell(length(m_values), 1);
stability_info = cell(length(m_values), 1);
% Define the function f(t, m)
f = @(t, m) real(((((k).^(1/2)).*(((m./t)+2)/3) – ((1-k).^(1/2)).*(1/3)*(2 + (m./t) + ((2*m + t)./(((m – t)^2) – 2*t)))))./((((k).^(1/2)).*(2*m^3 – 3*((1+m)^2)*t + t^3)/(3*(((m – t)^2) – 2*t)) – ((1-k).^(1/2)).*((2*m + t)/3))) – t);
% Define initial guesses for fsolve
initial_guesses = [0.1, 0.5, 1.7];
% Loop over the range of m values
for i = 1:length(m_values)
m_val = m_values(i);
% Initialize temporary storage for current m
current_fixed_points = [];
current_stability_info = [];
% Find fixed points using fsolve with multiple initial guesses
for guess = initial_guesses
options = optimset(‘Display’, ‘off’, ‘TolFun’, 1e-10, ‘TolX’, 1e-10);
try
[t_val, fval, exitflag] = fsolve(@(t) f(t, m_val), guess, options);
% Check if the solution is valid and positive
if exitflag > 0 && t_val > 0 && isreal(t_val) && ~isnan(t_val) && ~isinf(t_val)
% Check if the solution is already found (to avoid duplicates)
if isempty(current_fixed_points) || all(abs(current_fixed_points – t_val) > 1e-6)
% Calculate the partial derivative (Jacobian) at the fixed point to check stability
df_dt = (f(t_val + 1e-6, m_val) – f(t_val, m_val)) / 1e-6;
% The eigenvalue in this 1D case is just df_dt
eigenvalue = df_dt;
% Check stability based on the real part of the eigenvalue
is_stable = real(eigenvalue) < 0;
% Store the fixed point and its stability
current_fixed_points = [current_fixed_points, t_val];
current_stability_info = [current_stability_info, is_stable];
end
end
catch
% Skip this initial guess if it causes an error
continue;
end
end
% Store results for current m
fixed_points{i} = current_fixed_points;
stability_info{i} = current_stability_info;
end
% Display results
for i = 1:length(m_values)
m_val = m_values(i);
t_vals = fixed_points{i};
stability_vals = stability_info{i};
for j = 1:length(t_vals)
fprintf(‘For m = %.2f, t = %.6f: stable = %dn’, m_val, t_vals(j), stability_vals(j));
end
end
% Plot fixed points as a function of m with stability info
figure;
hold on;
for i = 1:length(m_values)
t_vals = fixed_points{i};
stability_vals = stability_info{i};
for j = 1:length(t_vals)
if stability_vals(j)
plot(m_values(i), t_vals(j), ‘go’); % Stable points in green
else
plot(m_values(i), t_vals(j), ‘ro’); % Unstable points in red
end
end
end
xlabel(‘m’);
ylabel(‘Fixed Point t’);
title(‘Fixed Points and Stability as a Function of m’);
legend(‘Stable’, ‘Unstable’);
hold off;I have system of two equations. I solved the model – variable k and t for each value of parameter m, between 0 and 1, and checked for stability of solution. I got all solution as stable
% Define the equations as anonymous functions
eq1 = @(vars, m) (sqrt(vars(1))/sqrt(1-vars(1))) + ((vars(2)*(2*(m^3) + vars(2)^3 – 3*vars(2)*((m+1)^2))^2)/(6*vars(2) – 3*((m-vars(2))^2)) + ((m-vars(2))^2)*(m+2*vars(2))*(m/(3*vars(2)) + 2/3)) / ((m^3 – (vars(2)^2)*(3*m+3) + 2*(vars(2)^3))*(m/(3*vars(2)) – (2*m+vars(2))/(3*(2*vars(2)-((m-vars(2))^2))) + 2/3) – vars(2)*((m-vars(2))^2)*(2*m+vars(2))*((2*m/3) + vars(2)/3));
eq2 = @(vars, m) vars(2) – ((sqrt(vars(1))/sqrt(1-vars(1)))*(((m/vars(2))+2)/3) – (1/3)*(2 + (m/vars(2)) + ((2*m+vars(2))/(((m-vars(2))^2)-2*vars(2))))) / ((sqrt(vars(1))/sqrt(1-vars(1)))*(2*(m^3) – 3*((1+m)^2)*vars(2) + vars(2)^3)/(3*(((m-vars(2))^2)-2*vars(2))) – ((2*m+vars(2))/3));
% Range of m values
m_values = linspace(0, 1, 100); % 100 values of m between 0 and 1
% Preallocate arrays to store solutions
k_solutions = zeros(size(m_values));
t_solutions = zeros(size(m_values));
stabilities = cell(size(m_values));
% Loop over m values and solve the system of equations for each m
for i = 1:length(m_values)
m = m_values(i);
% System of equations for current m
system_of_equations = @(vars) [eq1(vars, m); eq2(vars, m)];
% Initial guess for [k, t]
initial_guess = [0.75, 1.5];
% Solve the system of equations using fsolve
options = optimoptions(‘fsolve’, ‘Display’, ‘off’);
solution = fsolve(system_of_equations, initial_guess, options);
% Store solutions if they meet the criteria
k_solution = solution(1);
t_solution = solution(2);
if k_solution > 0.5 && k_solution < 1 && t_solution > 0
k_solutions(i) = k_solution;
t_solutions(i) = t_solution;
% Compute the Jacobian matrix
J = [diff(eq1([k_solution, t_solution], m), 1, 1), diff(eq1([k_solution, t_solution], m), 1, 2);
diff(eq2([k_solution, t_solution], m), 1, 1), diff(eq2([k_solution, t_solution], m), 1, 2)];
% Calculate eigenvalues of the Jacobian matrix
eigenvalues = eig(J);
% Analyze stability
if all(real(eigenvalues) < 0)
stabilities{i} = ‘Stable’;
elseif all(real(eigenvalues) == 0)
% Use center manifold method for stability analysis
% Modify this part with your center manifold method implementation
stabilities{i} = ‘Center manifold method’;
elseif any(real(eigenvalues) > 0)
stabilities{i} = ‘Unstable’;
end
else
k_solutions(i) = NaN;
t_solutions(i) = NaN;
stabilities{i} = ‘NaN’;
end
end
% Display solutions and stabilities
disp(‘Solutions for each m:’);
for i = 1:length(m_values)
fprintf(‘m = %.2f, k = %.4f, t = %.4f, Stability = %sn’, m_values(i), k_solutions(i), t_solutions(i), stabilities{i});
end
Now, the problem arose when I took k as an exogenous variable. When I input the value of k say 0.6945 (In above code, I got one of the solution as for m=0.38 I had k=0.6945 and t =1.82 and it was stable), I got value of t as 1.82 against m=0.38, as should be. But now this solution is unstable. Why? Can anyone help me why I am getting it stable in above code. While it is unstable in below. Please help
% Define the range of m values
m_values = linspace(0, 1, 100); % Adjust the number of points for higher accuracy
% Define the value of k
k = 0.6945;
% Initialize cell arrays to store fixed points and their stability
fixed_points = cell(length(m_values), 1);
stability_info = cell(length(m_values), 1);
% Define the function f(t, m)
f = @(t, m) real(((((k).^(1/2)).*(((m./t)+2)/3) – ((1-k).^(1/2)).*(1/3)*(2 + (m./t) + ((2*m + t)./(((m – t)^2) – 2*t)))))./((((k).^(1/2)).*(2*m^3 – 3*((1+m)^2)*t + t^3)/(3*(((m – t)^2) – 2*t)) – ((1-k).^(1/2)).*((2*m + t)/3))) – t);
% Define initial guesses for fsolve
initial_guesses = [0.1, 0.5, 1.7];
% Loop over the range of m values
for i = 1:length(m_values)
m_val = m_values(i);
% Initialize temporary storage for current m
current_fixed_points = [];
current_stability_info = [];
% Find fixed points using fsolve with multiple initial guesses
for guess = initial_guesses
options = optimset(‘Display’, ‘off’, ‘TolFun’, 1e-10, ‘TolX’, 1e-10);
try
[t_val, fval, exitflag] = fsolve(@(t) f(t, m_val), guess, options);
% Check if the solution is valid and positive
if exitflag > 0 && t_val > 0 && isreal(t_val) && ~isnan(t_val) && ~isinf(t_val)
% Check if the solution is already found (to avoid duplicates)
if isempty(current_fixed_points) || all(abs(current_fixed_points – t_val) > 1e-6)
% Calculate the partial derivative (Jacobian) at the fixed point to check stability
df_dt = (f(t_val + 1e-6, m_val) – f(t_val, m_val)) / 1e-6;
% The eigenvalue in this 1D case is just df_dt
eigenvalue = df_dt;
% Check stability based on the real part of the eigenvalue
is_stable = real(eigenvalue) < 0;
% Store the fixed point and its stability
current_fixed_points = [current_fixed_points, t_val];
current_stability_info = [current_stability_info, is_stable];
end
end
catch
% Skip this initial guess if it causes an error
continue;
end
end
% Store results for current m
fixed_points{i} = current_fixed_points;
stability_info{i} = current_stability_info;
end
% Display results
for i = 1:length(m_values)
m_val = m_values(i);
t_vals = fixed_points{i};
stability_vals = stability_info{i};
for j = 1:length(t_vals)
fprintf(‘For m = %.2f, t = %.6f: stable = %dn’, m_val, t_vals(j), stability_vals(j));
end
end
% Plot fixed points as a function of m with stability info
figure;
hold on;
for i = 1:length(m_values)
t_vals = fixed_points{i};
stability_vals = stability_info{i};
for j = 1:length(t_vals)
if stability_vals(j)
plot(m_values(i), t_vals(j), ‘go’); % Stable points in green
else
plot(m_values(i), t_vals(j), ‘ro’); % Unstable points in red
end
end
end
xlabel(‘m’);
ylabel(‘Fixed Point t’);
title(‘Fixed Points and Stability as a Function of m’);
legend(‘Stable’, ‘Unstable’);
hold off; I have system of two equations. I solved the model – variable k and t for each value of parameter m, between 0 and 1, and checked for stability of solution. I got all solution as stable
% Define the equations as anonymous functions
eq1 = @(vars, m) (sqrt(vars(1))/sqrt(1-vars(1))) + ((vars(2)*(2*(m^3) + vars(2)^3 – 3*vars(2)*((m+1)^2))^2)/(6*vars(2) – 3*((m-vars(2))^2)) + ((m-vars(2))^2)*(m+2*vars(2))*(m/(3*vars(2)) + 2/3)) / ((m^3 – (vars(2)^2)*(3*m+3) + 2*(vars(2)^3))*(m/(3*vars(2)) – (2*m+vars(2))/(3*(2*vars(2)-((m-vars(2))^2))) + 2/3) – vars(2)*((m-vars(2))^2)*(2*m+vars(2))*((2*m/3) + vars(2)/3));
eq2 = @(vars, m) vars(2) – ((sqrt(vars(1))/sqrt(1-vars(1)))*(((m/vars(2))+2)/3) – (1/3)*(2 + (m/vars(2)) + ((2*m+vars(2))/(((m-vars(2))^2)-2*vars(2))))) / ((sqrt(vars(1))/sqrt(1-vars(1)))*(2*(m^3) – 3*((1+m)^2)*vars(2) + vars(2)^3)/(3*(((m-vars(2))^2)-2*vars(2))) – ((2*m+vars(2))/3));
% Range of m values
m_values = linspace(0, 1, 100); % 100 values of m between 0 and 1
% Preallocate arrays to store solutions
k_solutions = zeros(size(m_values));
t_solutions = zeros(size(m_values));
stabilities = cell(size(m_values));
% Loop over m values and solve the system of equations for each m
for i = 1:length(m_values)
m = m_values(i);
% System of equations for current m
system_of_equations = @(vars) [eq1(vars, m); eq2(vars, m)];
% Initial guess for [k, t]
initial_guess = [0.75, 1.5];
% Solve the system of equations using fsolve
options = optimoptions(‘fsolve’, ‘Display’, ‘off’);
solution = fsolve(system_of_equations, initial_guess, options);
% Store solutions if they meet the criteria
k_solution = solution(1);
t_solution = solution(2);
if k_solution > 0.5 && k_solution < 1 && t_solution > 0
k_solutions(i) = k_solution;
t_solutions(i) = t_solution;
% Compute the Jacobian matrix
J = [diff(eq1([k_solution, t_solution], m), 1, 1), diff(eq1([k_solution, t_solution], m), 1, 2);
diff(eq2([k_solution, t_solution], m), 1, 1), diff(eq2([k_solution, t_solution], m), 1, 2)];
% Calculate eigenvalues of the Jacobian matrix
eigenvalues = eig(J);
% Analyze stability
if all(real(eigenvalues) < 0)
stabilities{i} = ‘Stable’;
elseif all(real(eigenvalues) == 0)
% Use center manifold method for stability analysis
% Modify this part with your center manifold method implementation
stabilities{i} = ‘Center manifold method’;
elseif any(real(eigenvalues) > 0)
stabilities{i} = ‘Unstable’;
end
else
k_solutions(i) = NaN;
t_solutions(i) = NaN;
stabilities{i} = ‘NaN’;
end
end
% Display solutions and stabilities
disp(‘Solutions for each m:’);
for i = 1:length(m_values)
fprintf(‘m = %.2f, k = %.4f, t = %.4f, Stability = %sn’, m_values(i), k_solutions(i), t_solutions(i), stabilities{i});
end
Now, the problem arose when I took k as an exogenous variable. When I input the value of k say 0.6945 (In above code, I got one of the solution as for m=0.38 I had k=0.6945 and t =1.82 and it was stable), I got value of t as 1.82 against m=0.38, as should be. But now this solution is unstable. Why? Can anyone help me why I am getting it stable in above code. While it is unstable in below. Please help
% Define the range of m values
m_values = linspace(0, 1, 100); % Adjust the number of points for higher accuracy
% Define the value of k
k = 0.6945;
% Initialize cell arrays to store fixed points and their stability
fixed_points = cell(length(m_values), 1);
stability_info = cell(length(m_values), 1);
% Define the function f(t, m)
f = @(t, m) real(((((k).^(1/2)).*(((m./t)+2)/3) – ((1-k).^(1/2)).*(1/3)*(2 + (m./t) + ((2*m + t)./(((m – t)^2) – 2*t)))))./((((k).^(1/2)).*(2*m^3 – 3*((1+m)^2)*t + t^3)/(3*(((m – t)^2) – 2*t)) – ((1-k).^(1/2)).*((2*m + t)/3))) – t);
% Define initial guesses for fsolve
initial_guesses = [0.1, 0.5, 1.7];
% Loop over the range of m values
for i = 1:length(m_values)
m_val = m_values(i);
% Initialize temporary storage for current m
current_fixed_points = [];
current_stability_info = [];
% Find fixed points using fsolve with multiple initial guesses
for guess = initial_guesses
options = optimset(‘Display’, ‘off’, ‘TolFun’, 1e-10, ‘TolX’, 1e-10);
try
[t_val, fval, exitflag] = fsolve(@(t) f(t, m_val), guess, options);
% Check if the solution is valid and positive
if exitflag > 0 && t_val > 0 && isreal(t_val) && ~isnan(t_val) && ~isinf(t_val)
% Check if the solution is already found (to avoid duplicates)
if isempty(current_fixed_points) || all(abs(current_fixed_points – t_val) > 1e-6)
% Calculate the partial derivative (Jacobian) at the fixed point to check stability
df_dt = (f(t_val + 1e-6, m_val) – f(t_val, m_val)) / 1e-6;
% The eigenvalue in this 1D case is just df_dt
eigenvalue = df_dt;
% Check stability based on the real part of the eigenvalue
is_stable = real(eigenvalue) < 0;
% Store the fixed point and its stability
current_fixed_points = [current_fixed_points, t_val];
current_stability_info = [current_stability_info, is_stable];
end
end
catch
% Skip this initial guess if it causes an error
continue;
end
end
% Store results for current m
fixed_points{i} = current_fixed_points;
stability_info{i} = current_stability_info;
end
% Display results
for i = 1:length(m_values)
m_val = m_values(i);
t_vals = fixed_points{i};
stability_vals = stability_info{i};
for j = 1:length(t_vals)
fprintf(‘For m = %.2f, t = %.6f: stable = %dn’, m_val, t_vals(j), stability_vals(j));
end
end
% Plot fixed points as a function of m with stability info
figure;
hold on;
for i = 1:length(m_values)
t_vals = fixed_points{i};
stability_vals = stability_info{i};
for j = 1:length(t_vals)
if stability_vals(j)
plot(m_values(i), t_vals(j), ‘go’); % Stable points in green
else
plot(m_values(i), t_vals(j), ‘ro’); % Unstable points in red
end
end
end
xlabel(‘m’);
ylabel(‘Fixed Point t’);
title(‘Fixed Points and Stability as a Function of m’);
legend(‘Stable’, ‘Unstable’);
hold off; matlab, optimization MATLAB Answers — New Questions
Slow Training of RL Agent on HPC Compared to Local Machine
I am currently running a MATLAB 2021a script (execute.m added as attachment for reference) to train a reinforcement learning (RL) agent in Simulink to control a drone. While training it in my local machine it connects to 6 workers and the training speed is much higher compared to HPC which is connected to 12 workers. I have ensured that the whole node is assigned to the the job with 28 cores in total.
Here is the SLURM script:
#!/bin/bash -l
#SBATCH -J MATLAB_Execute # Job name
#SBATCH -N 1 # Number of nodes
#SBATCH -n 1 # Number of tasks (1 instance of the program)
#SBATCH -c 28 # Number of CPU cores per node
#SBATCH –gres=gpu:0 # Number of GPUs per node
#SBATCH –time=1:00:0 # Time limit (10 minutes)
#SBATCH -p batch -C skylake # Partition name (GPU partition)
export JAVA_LOG_DIR=/scratch/users/gshetty/java_logs
mkdir -p $JAVA_LOG_DIR
# Load the MATLAB module
module load math/MATLAB/2021a
module load openssl/1.1.1k
export LD_PRELOAD=/usr/lib64/libcrypto.so.1.1
# Run the MATLAB script
srun matlab -nodisplay -nosplash -r execute -logfile execute.out
what can be the potential reason?I am currently running a MATLAB 2021a script (execute.m added as attachment for reference) to train a reinforcement learning (RL) agent in Simulink to control a drone. While training it in my local machine it connects to 6 workers and the training speed is much higher compared to HPC which is connected to 12 workers. I have ensured that the whole node is assigned to the the job with 28 cores in total.
Here is the SLURM script:
#!/bin/bash -l
#SBATCH -J MATLAB_Execute # Job name
#SBATCH -N 1 # Number of nodes
#SBATCH -n 1 # Number of tasks (1 instance of the program)
#SBATCH -c 28 # Number of CPU cores per node
#SBATCH –gres=gpu:0 # Number of GPUs per node
#SBATCH –time=1:00:0 # Time limit (10 minutes)
#SBATCH -p batch -C skylake # Partition name (GPU partition)
export JAVA_LOG_DIR=/scratch/users/gshetty/java_logs
mkdir -p $JAVA_LOG_DIR
# Load the MATLAB module
module load math/MATLAB/2021a
module load openssl/1.1.1k
export LD_PRELOAD=/usr/lib64/libcrypto.so.1.1
# Run the MATLAB script
srun matlab -nodisplay -nosplash -r execute -logfile execute.out
what can be the potential reason? I am currently running a MATLAB 2021a script (execute.m added as attachment for reference) to train a reinforcement learning (RL) agent in Simulink to control a drone. While training it in my local machine it connects to 6 workers and the training speed is much higher compared to HPC which is connected to 12 workers. I have ensured that the whole node is assigned to the the job with 28 cores in total.
Here is the SLURM script:
#!/bin/bash -l
#SBATCH -J MATLAB_Execute # Job name
#SBATCH -N 1 # Number of nodes
#SBATCH -n 1 # Number of tasks (1 instance of the program)
#SBATCH -c 28 # Number of CPU cores per node
#SBATCH –gres=gpu:0 # Number of GPUs per node
#SBATCH –time=1:00:0 # Time limit (10 minutes)
#SBATCH -p batch -C skylake # Partition name (GPU partition)
export JAVA_LOG_DIR=/scratch/users/gshetty/java_logs
mkdir -p $JAVA_LOG_DIR
# Load the MATLAB module
module load math/MATLAB/2021a
module load openssl/1.1.1k
export LD_PRELOAD=/usr/lib64/libcrypto.so.1.1
# Run the MATLAB script
srun matlab -nodisplay -nosplash -r execute -logfile execute.out
what can be the potential reason? parallel computing toolbox, simulink, reinforcement learning, hpc MATLAB Answers — New Questions
rror copying generated code into Pixhawk firmware directory. Delete the files in the folder C:PX4homeFirmwaresrcmodulespx4_simulink_app manually and try building again.
rror copying generated code into Pixhawk firmware directory. Delete the files in the folder C:PX4homeFirmwaresrcmodulespx4_simulink_app manually and try building again.
how to rebuilding againrror copying generated code into Pixhawk firmware directory. Delete the files in the folder C:PX4homeFirmwaresrcmodulespx4_simulink_app manually and try building again.
how to rebuilding again rror copying generated code into Pixhawk firmware directory. Delete the files in the folder C:PX4homeFirmwaresrcmodulespx4_simulink_app manually and try building again.
how to rebuilding again pixhawk, simulink, uav MATLAB Answers — New Questions
How to solve:Abnormal termination: Illegal instruction Current Thread: ” id 23044
MATLAB Log File: C:UsersWYHAppDataLocalTempmatlab_crash_dump.7244-1
————————————————
MATLAB Log File
————————————————
——————————————————————————–
Illegal instruction detected at 2024-06-06 17:16:44 +0800
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : false
Graphics Driver : Uninitialized hardware
Graphics card 1 : Advanced Micro Devices, Inc. ( 0x1002 ) AMD Radeon(TM) Graphics Version 31.0.24033.1003 (2024-5-8)
Graphics card 2 : NVIDIA ( 0x10de ) NVIDIA GeForce RTX 4070 SUPER Version 32.0.15.5599 (2024-6-1)
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : win64
MATLAB Entitlement ID : 11761854
MATLAB Root : D:AppsForCodesMatlab
MATLAB Version : 9.13.0.2553342 (R2022b) Update 9
OpenGL : hardware
Operating System : Microsoft Windows 10 企业版
Process ID : 7244
Processor ID : x86 Family 25 Model 97 Stepping 2, AuthenticAMD
Session Key : bc7e146d-00cd-45fc-9784-95bb512b7245
Window System : Version 10.0 (Build 19045)
Fault Count: 1
Abnormal termination:
Illegal instruction
Current Thread: ” id 23044
Register State (from fault):
RAX = 000002b87d462000 RBX = 000002b87d463000
RCX = 000000d69e2ae0e0 RDX = 000002b88e0c04c0
RSP = 000000d69e2adef0 RBP = 000000d69e2ae858
RSI = 00007ffc9ebb05a8 RDI = 000000d69e2ae868
R8 = 0000000000000040 R9 = 000002b87d463000
R10 = 0000000000000180 R11 = 0000000000000080
R12 = 0000000000000002 R13 = 000000000000000c
R14 = 0000000000000004 R15 = 0000000000000002
RIP = 00007ffc9e0082d2 EFL = 00010212
CS = 0033 FS = 0053 GS = 002b
Stack Trace (from fault):
[ 0] 0x00007ffc9e0082d2 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+12813010 pardiso_real_unsymmetry_driver_p+12800354
[ 1] 0x00007ffc9dc83b44 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+09124676 pardiso_real_unsymmetry_driver_p+09112020
[ 2] 0x00007ffc9dc75738 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+09066296 pardiso_real_unsymmetry_driver_p+09053640
[ 3] 0x00007ffc9dbeb825 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+08501285 pardiso_real_unsymmetry_driver_p+08488629
[ 4] 0x00007ffc9dbdf4d1 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+08451281 pardiso_real_unsymmetry_driver_p+08438625
[ 5] 0x00007ffc9d731314 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+03543828 pardiso_real_unsymmetry_driver_p+03531172
[ 6] 0x00007ffc9d8844ea D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+04932842 pardiso_real_unsymmetry_driver_p+04920186
[ 7] 0x00007ffce31bfa63 D:AppsForCodesMatlabbinwin64libiomp5md.dll+01243747 _kmp_invoke_microtask+00000147
[ 8] 0x00007ffce31218c7 D:AppsForCodesMatlabbinwin64libiomp5md.dll+00596167 _kmp_acquire_nested_drdpa_lock+00038327
[ 9] 0x00007ffce312138f D:AppsForCodesMatlabbinwin64libiomp5md.dll+00594831 _kmp_acquire_nested_drdpa_lock+00036991
[ 10] 0x00007ffce3192af7 D:AppsForCodesMatlabbinwin64libiomp5md.dll+01059575 _kmp_launch_worker+00000343
[ 11] 0x00007ffd59697344 C:WindowsSystem32KERNEL32.DLL+00095044 BaseThreadInitThunk+00000020
[ 12] 0x00007ffd5a2026b1 C:WindowsSYSTEM32ntdll.dll+00337585 RtlUserThreadStart+00000033MATLAB Log File: C:UsersWYHAppDataLocalTempmatlab_crash_dump.7244-1
————————————————
MATLAB Log File
————————————————
——————————————————————————–
Illegal instruction detected at 2024-06-06 17:16:44 +0800
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : false
Graphics Driver : Uninitialized hardware
Graphics card 1 : Advanced Micro Devices, Inc. ( 0x1002 ) AMD Radeon(TM) Graphics Version 31.0.24033.1003 (2024-5-8)
Graphics card 2 : NVIDIA ( 0x10de ) NVIDIA GeForce RTX 4070 SUPER Version 32.0.15.5599 (2024-6-1)
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : win64
MATLAB Entitlement ID : 11761854
MATLAB Root : D:AppsForCodesMatlab
MATLAB Version : 9.13.0.2553342 (R2022b) Update 9
OpenGL : hardware
Operating System : Microsoft Windows 10 企业版
Process ID : 7244
Processor ID : x86 Family 25 Model 97 Stepping 2, AuthenticAMD
Session Key : bc7e146d-00cd-45fc-9784-95bb512b7245
Window System : Version 10.0 (Build 19045)
Fault Count: 1
Abnormal termination:
Illegal instruction
Current Thread: ” id 23044
Register State (from fault):
RAX = 000002b87d462000 RBX = 000002b87d463000
RCX = 000000d69e2ae0e0 RDX = 000002b88e0c04c0
RSP = 000000d69e2adef0 RBP = 000000d69e2ae858
RSI = 00007ffc9ebb05a8 RDI = 000000d69e2ae868
R8 = 0000000000000040 R9 = 000002b87d463000
R10 = 0000000000000180 R11 = 0000000000000080
R12 = 0000000000000002 R13 = 000000000000000c
R14 = 0000000000000004 R15 = 0000000000000002
RIP = 00007ffc9e0082d2 EFL = 00010212
CS = 0033 FS = 0053 GS = 002b
Stack Trace (from fault):
[ 0] 0x00007ffc9e0082d2 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+12813010 pardiso_real_unsymmetry_driver_p+12800354
[ 1] 0x00007ffc9dc83b44 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+09124676 pardiso_real_unsymmetry_driver_p+09112020
[ 2] 0x00007ffc9dc75738 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+09066296 pardiso_real_unsymmetry_driver_p+09053640
[ 3] 0x00007ffc9dbeb825 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+08501285 pardiso_real_unsymmetry_driver_p+08488629
[ 4] 0x00007ffc9dbdf4d1 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+08451281 pardiso_real_unsymmetry_driver_p+08438625
[ 5] 0x00007ffc9d731314 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+03543828 pardiso_real_unsymmetry_driver_p+03531172
[ 6] 0x00007ffc9d8844ea D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+04932842 pardiso_real_unsymmetry_driver_p+04920186
[ 7] 0x00007ffce31bfa63 D:AppsForCodesMatlabbinwin64libiomp5md.dll+01243747 _kmp_invoke_microtask+00000147
[ 8] 0x00007ffce31218c7 D:AppsForCodesMatlabbinwin64libiomp5md.dll+00596167 _kmp_acquire_nested_drdpa_lock+00038327
[ 9] 0x00007ffce312138f D:AppsForCodesMatlabbinwin64libiomp5md.dll+00594831 _kmp_acquire_nested_drdpa_lock+00036991
[ 10] 0x00007ffce3192af7 D:AppsForCodesMatlabbinwin64libiomp5md.dll+01059575 _kmp_launch_worker+00000343
[ 11] 0x00007ffd59697344 C:WindowsSystem32KERNEL32.DLL+00095044 BaseThreadInitThunk+00000020
[ 12] 0x00007ffd5a2026b1 C:WindowsSYSTEM32ntdll.dll+00337585 RtlUserThreadStart+00000033 MATLAB Log File: C:UsersWYHAppDataLocalTempmatlab_crash_dump.7244-1
————————————————
MATLAB Log File
————————————————
——————————————————————————–
Illegal instruction detected at 2024-06-06 17:16:44 +0800
——————————————————————————–
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : UTF-8
Deployed : false
Graphics Driver : Uninitialized hardware
Graphics card 1 : Advanced Micro Devices, Inc. ( 0x1002 ) AMD Radeon(TM) Graphics Version 31.0.24033.1003 (2024-5-8)
Graphics card 2 : NVIDIA ( 0x10de ) NVIDIA GeForce RTX 4070 SUPER Version 32.0.15.5599 (2024-6-1)
Java Version : Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB Architecture : win64
MATLAB Entitlement ID : 11761854
MATLAB Root : D:AppsForCodesMatlab
MATLAB Version : 9.13.0.2553342 (R2022b) Update 9
OpenGL : hardware
Operating System : Microsoft Windows 10 企业版
Process ID : 7244
Processor ID : x86 Family 25 Model 97 Stepping 2, AuthenticAMD
Session Key : bc7e146d-00cd-45fc-9784-95bb512b7245
Window System : Version 10.0 (Build 19045)
Fault Count: 1
Abnormal termination:
Illegal instruction
Current Thread: ” id 23044
Register State (from fault):
RAX = 000002b87d462000 RBX = 000002b87d463000
RCX = 000000d69e2ae0e0 RDX = 000002b88e0c04c0
RSP = 000000d69e2adef0 RBP = 000000d69e2ae858
RSI = 00007ffc9ebb05a8 RDI = 000000d69e2ae868
R8 = 0000000000000040 R9 = 000002b87d463000
R10 = 0000000000000180 R11 = 0000000000000080
R12 = 0000000000000002 R13 = 000000000000000c
R14 = 0000000000000004 R15 = 0000000000000002
RIP = 00007ffc9e0082d2 EFL = 00010212
CS = 0033 FS = 0053 GS = 002b
Stack Trace (from fault):
[ 0] 0x00007ffc9e0082d2 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+12813010 pardiso_real_unsymmetry_driver_p+12800354
[ 1] 0x00007ffc9dc83b44 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+09124676 pardiso_real_unsymmetry_driver_p+09112020
[ 2] 0x00007ffc9dc75738 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+09066296 pardiso_real_unsymmetry_driver_p+09053640
[ 3] 0x00007ffc9dbeb825 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+08501285 pardiso_real_unsymmetry_driver_p+08488629
[ 4] 0x00007ffc9dbdf4d1 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+08451281 pardiso_real_unsymmetry_driver_p+08438625
[ 5] 0x00007ffc9d731314 D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+03543828 pardiso_real_unsymmetry_driver_p+03531172
[ 6] 0x00007ffc9d8844ea D:Desktopmfv_rk_freqpardiso_real_unsymmetry_driver_p.dll+04932842 pardiso_real_unsymmetry_driver_p+04920186
[ 7] 0x00007ffce31bfa63 D:AppsForCodesMatlabbinwin64libiomp5md.dll+01243747 _kmp_invoke_microtask+00000147
[ 8] 0x00007ffce31218c7 D:AppsForCodesMatlabbinwin64libiomp5md.dll+00596167 _kmp_acquire_nested_drdpa_lock+00038327
[ 9] 0x00007ffce312138f D:AppsForCodesMatlabbinwin64libiomp5md.dll+00594831 _kmp_acquire_nested_drdpa_lock+00036991
[ 10] 0x00007ffce3192af7 D:AppsForCodesMatlabbinwin64libiomp5md.dll+01059575 _kmp_launch_worker+00000343
[ 11] 0x00007ffd59697344 C:WindowsSystem32KERNEL32.DLL+00095044 BaseThreadInitThunk+00000020
[ 12] 0x00007ffd5a2026b1 C:WindowsSYSTEM32ntdll.dll+00337585 RtlUserThreadStart+00000033 崩溃 MATLAB Answers — New Questions
Error using trainNetwork: Predictors must be a N-by-1 cell array of sequences
Hello MATLAB friends,
I’m working on a project involving time series prediction using a Gated Recurrent Unit (GRU) model. The goal is to predict whether a stock will be a ‘winning’ or ‘losing’ stock based on historical data.
However, I’m encountering an error when trying to train the network using the trainNetwork function. The error message is:
Error using trainNetwork
Invalid training data. Predictors must be a N-by-1 cell array of sequences, where N is the number of sequences. All sequences must have the same feature dimension and at least one time step.
Here’s the relevant portion of my code:
% Initialize cell arrays to store training and testing features and labels
training_features = {};
training_labels = {};
testing_features = {};
testing_labels = {};
% Process each CSV file in the combined_stocks table
for f = 1:height(combined_stocks)
% Load data from CSV file using readtable
data = readtable(fullfile(directory_path, combined_stocks.Stock(f)), ‘VariableNamingRule’, ‘preserve’);
% Selecting the required features
features = data{:, {‘open’, ‘high’, ‘low’, ‘close’, ‘MA’, ‘MA_1’}};
% Normalizing the close prices
normalized_close = (data.close – min(data.close)) / (max(data.close) – min(data.close));
% Calculating logarithmic close prices
log_close = log(data.close);
% Combine all features into a matrix
features = [features, normalized_close, log_close];
% Determine the label for the current stock
if combined_stocks.Maximum_Profit(f) > 0
labels = ones(height(data), 1); % Winning class
else
labels = zeros(height(data), 1); % Losing class
end
% Convert labels to categorical
labels = categorical(labels);
% Generate a random permutation of indices
indices = randperm(size(features, 1));
% Split the data into 70% training and 30% testing
split_point = round(size(features, 1) * 0.7);
training_indices = indices(1:split_point);
testing_indices = indices(split_point+1:end);
% Append the training and testing features and labels to the respective arrays
training_features = [training_features; {features(training_indices, :)}];
training_labels = [training_labels; {labels(training_indices)}];
testing_features = [testing_features; {features(testing_indices, :)}];
testing_labels = [testing_labels; {labels(testing_indices)}];
end
% Define the GRU network architecture
layers = [ …
sequenceInputLayer(size(training_features{1}, 2))
gruLayer(100,’OutputMode’,’last’)
fullyConnectedLayer(2)
softmaxLayer
classificationLayer];
% Define the training options
options = trainingOptions(‘adam’, …
‘MaxEpochs’,100, …
‘MiniBatchSize’, 150, …
‘InitialLearnRate’, 0.01, …
‘GradientThreshold’, 1, …
‘ExecutionEnvironment’,’auto’,…
‘plots’,’training-progress’, …
‘Verbose’,false);
% Train the GRU network
net = trainNetwork(training_features, training_labels, layers, options);
In my code, training_features and training_labels are N-by-1 cell arrays. Each cell in training_features contains a matrix of size M-by-8, where M is the number of time steps and 8 is the number of features. Each cell in training_labels contains a categorical vector of length M, where M is the same as in the corresponding cell of training_features.
Despite this, I’m still getting the error. Any help would be greatly appreciated!Hello MATLAB friends,
I’m working on a project involving time series prediction using a Gated Recurrent Unit (GRU) model. The goal is to predict whether a stock will be a ‘winning’ or ‘losing’ stock based on historical data.
However, I’m encountering an error when trying to train the network using the trainNetwork function. The error message is:
Error using trainNetwork
Invalid training data. Predictors must be a N-by-1 cell array of sequences, where N is the number of sequences. All sequences must have the same feature dimension and at least one time step.
Here’s the relevant portion of my code:
% Initialize cell arrays to store training and testing features and labels
training_features = {};
training_labels = {};
testing_features = {};
testing_labels = {};
% Process each CSV file in the combined_stocks table
for f = 1:height(combined_stocks)
% Load data from CSV file using readtable
data = readtable(fullfile(directory_path, combined_stocks.Stock(f)), ‘VariableNamingRule’, ‘preserve’);
% Selecting the required features
features = data{:, {‘open’, ‘high’, ‘low’, ‘close’, ‘MA’, ‘MA_1’}};
% Normalizing the close prices
normalized_close = (data.close – min(data.close)) / (max(data.close) – min(data.close));
% Calculating logarithmic close prices
log_close = log(data.close);
% Combine all features into a matrix
features = [features, normalized_close, log_close];
% Determine the label for the current stock
if combined_stocks.Maximum_Profit(f) > 0
labels = ones(height(data), 1); % Winning class
else
labels = zeros(height(data), 1); % Losing class
end
% Convert labels to categorical
labels = categorical(labels);
% Generate a random permutation of indices
indices = randperm(size(features, 1));
% Split the data into 70% training and 30% testing
split_point = round(size(features, 1) * 0.7);
training_indices = indices(1:split_point);
testing_indices = indices(split_point+1:end);
% Append the training and testing features and labels to the respective arrays
training_features = [training_features; {features(training_indices, :)}];
training_labels = [training_labels; {labels(training_indices)}];
testing_features = [testing_features; {features(testing_indices, :)}];
testing_labels = [testing_labels; {labels(testing_indices)}];
end
% Define the GRU network architecture
layers = [ …
sequenceInputLayer(size(training_features{1}, 2))
gruLayer(100,’OutputMode’,’last’)
fullyConnectedLayer(2)
softmaxLayer
classificationLayer];
% Define the training options
options = trainingOptions(‘adam’, …
‘MaxEpochs’,100, …
‘MiniBatchSize’, 150, …
‘InitialLearnRate’, 0.01, …
‘GradientThreshold’, 1, …
‘ExecutionEnvironment’,’auto’,…
‘plots’,’training-progress’, …
‘Verbose’,false);
% Train the GRU network
net = trainNetwork(training_features, training_labels, layers, options);
In my code, training_features and training_labels are N-by-1 cell arrays. Each cell in training_features contains a matrix of size M-by-8, where M is the number of time steps and 8 is the number of features. Each cell in training_labels contains a categorical vector of length M, where M is the same as in the corresponding cell of training_features.
Despite this, I’m still getting the error. Any help would be greatly appreciated! Hello MATLAB friends,
I’m working on a project involving time series prediction using a Gated Recurrent Unit (GRU) model. The goal is to predict whether a stock will be a ‘winning’ or ‘losing’ stock based on historical data.
However, I’m encountering an error when trying to train the network using the trainNetwork function. The error message is:
Error using trainNetwork
Invalid training data. Predictors must be a N-by-1 cell array of sequences, where N is the number of sequences. All sequences must have the same feature dimension and at least one time step.
Here’s the relevant portion of my code:
% Initialize cell arrays to store training and testing features and labels
training_features = {};
training_labels = {};
testing_features = {};
testing_labels = {};
% Process each CSV file in the combined_stocks table
for f = 1:height(combined_stocks)
% Load data from CSV file using readtable
data = readtable(fullfile(directory_path, combined_stocks.Stock(f)), ‘VariableNamingRule’, ‘preserve’);
% Selecting the required features
features = data{:, {‘open’, ‘high’, ‘low’, ‘close’, ‘MA’, ‘MA_1’}};
% Normalizing the close prices
normalized_close = (data.close – min(data.close)) / (max(data.close) – min(data.close));
% Calculating logarithmic close prices
log_close = log(data.close);
% Combine all features into a matrix
features = [features, normalized_close, log_close];
% Determine the label for the current stock
if combined_stocks.Maximum_Profit(f) > 0
labels = ones(height(data), 1); % Winning class
else
labels = zeros(height(data), 1); % Losing class
end
% Convert labels to categorical
labels = categorical(labels);
% Generate a random permutation of indices
indices = randperm(size(features, 1));
% Split the data into 70% training and 30% testing
split_point = round(size(features, 1) * 0.7);
training_indices = indices(1:split_point);
testing_indices = indices(split_point+1:end);
% Append the training and testing features and labels to the respective arrays
training_features = [training_features; {features(training_indices, :)}];
training_labels = [training_labels; {labels(training_indices)}];
testing_features = [testing_features; {features(testing_indices, :)}];
testing_labels = [testing_labels; {labels(testing_indices)}];
end
% Define the GRU network architecture
layers = [ …
sequenceInputLayer(size(training_features{1}, 2))
gruLayer(100,’OutputMode’,’last’)
fullyConnectedLayer(2)
softmaxLayer
classificationLayer];
% Define the training options
options = trainingOptions(‘adam’, …
‘MaxEpochs’,100, …
‘MiniBatchSize’, 150, …
‘InitialLearnRate’, 0.01, …
‘GradientThreshold’, 1, …
‘ExecutionEnvironment’,’auto’,…
‘plots’,’training-progress’, …
‘Verbose’,false);
% Train the GRU network
net = trainNetwork(training_features, training_labels, layers, options);
In my code, training_features and training_labels are N-by-1 cell arrays. Each cell in training_features contains a matrix of size M-by-8, where M is the number of time steps and 8 is the number of features. Each cell in training_labels contains a categorical vector of length M, where M is the same as in the corresponding cell of training_features.
Despite this, I’m still getting the error. Any help would be greatly appreciated! matlab, deep learning toolbox, gru, trainnetwork MATLAB Answers — New Questions
left and right sides have a different number of elements.
Hi, i’ve this problem
i is a logical 5995×1… price and bubu have equal size
load(‘matlab_3Variable.mat’);
price(i)=bubu;Hi, i’ve this problem
i is a logical 5995×1… price and bubu have equal size
load(‘matlab_3Variable.mat’);
price(i)=bubu; Hi, i’ve this problem
i is a logical 5995×1… price and bubu have equal size
load(‘matlab_3Variable.mat’);
price(i)=bubu; left and right sides have a different number of el MATLAB Answers — New Questions
How do I export a matlabb app?
I’ll be brief.
How do I export a matlabb app so another person can edit it?
I’ve tried, but my colleague only gets a .mlapp.zip file and once he extracts it, he is not able to even open the GUI.
Thanks in advanceI’ll be brief.
How do I export a matlabb app so another person can edit it?
I’ve tried, but my colleague only gets a .mlapp.zip file and once he extracts it, he is not able to even open the GUI.
Thanks in advance I’ll be brief.
How do I export a matlabb app so another person can edit it?
I’ve tried, but my colleague only gets a .mlapp.zip file and once he extracts it, he is not able to even open the GUI.
Thanks in advance matlab gui, app designer, export MATLAB Answers — New Questions
Plotting Eddy Kinetic Energy
Hi I have problem with plotting eddy kinetic energy (EKE)
I have a data of sea surface height (variable name: adt) with matrix [n m k]. n is latitude, m is longitude and k is time.
I want to plot EKE with equation below
here is my initial code
regionName = ‘SouthIndian’ % change as you need to ..
eval([‘load ‘ regionName]); %to evaluate the data
[n, m, k] = size(b.adt); %n =lat, m= lon, k = absolute topohraphy
adt_mean = squeeze(mean(shiftdim(b.adt,2)));
g=(9.8).^2;
f=2.*(coriolisf(b.lat)).^2;
dhx=(diff(adt_mean)./diff(b.lat)).^2;
dhy=(diff(shiftdim(adt_mean,1))./diff(b.lon)).^2;
eke=g/f*(dhx+dhy);
But it doesnt working. Plese help or any suggestion about it.Hi I have problem with plotting eddy kinetic energy (EKE)
I have a data of sea surface height (variable name: adt) with matrix [n m k]. n is latitude, m is longitude and k is time.
I want to plot EKE with equation below
here is my initial code
regionName = ‘SouthIndian’ % change as you need to ..
eval([‘load ‘ regionName]); %to evaluate the data
[n, m, k] = size(b.adt); %n =lat, m= lon, k = absolute topohraphy
adt_mean = squeeze(mean(shiftdim(b.adt,2)));
g=(9.8).^2;
f=2.*(coriolisf(b.lat)).^2;
dhx=(diff(adt_mean)./diff(b.lat)).^2;
dhy=(diff(shiftdim(adt_mean,1))./diff(b.lon)).^2;
eke=g/f*(dhx+dhy);
But it doesnt working. Plese help or any suggestion about it. Hi I have problem with plotting eddy kinetic energy (EKE)
I have a data of sea surface height (variable name: adt) with matrix [n m k]. n is latitude, m is longitude and k is time.
I want to plot EKE with equation below
here is my initial code
regionName = ‘SouthIndian’ % change as you need to ..
eval([‘load ‘ regionName]); %to evaluate the data
[n, m, k] = size(b.adt); %n =lat, m= lon, k = absolute topohraphy
adt_mean = squeeze(mean(shiftdim(b.adt,2)));
g=(9.8).^2;
f=2.*(coriolisf(b.lat)).^2;
dhx=(diff(adt_mean)./diff(b.lat)).^2;
dhy=(diff(shiftdim(adt_mean,1))./diff(b.lon)).^2;
eke=g/f*(dhx+dhy);
But it doesnt working. Plese help or any suggestion about it. ssh, derivative, spatial MATLAB Answers — New Questions
