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Author: PuTI

Can the standard Soft Actor Critic (SAC) algorithm in Matlab be adapted for hybrid action spaces, or is there another reinforcement learning algorithm in Matlab that is better

PuTI / 2025-03-15

The current implementation of the Soft Actor Critic (SAC) algorithm in Matlab is designed only for problems with continuous or discrete action spaces. I’m facing a problem that requires dealing with hybrid action spaces, where some actions are continuous and others are discrete. I am aware that implementations of SAC that accommodate hybrid action spaces have been suggested in the literature. Is it feasible to modify the standard Matlab implementations to handle hybrid actions? If not, is there another reinforcement learning algorithm available in Matlab that is suitable for addressing hybrid action spaces?The current implementation of the Soft Actor Critic (SAC) algorithm in Matlab is designed only for problems with continuous or discrete action spaces. I’m facing a problem that requires dealing with hybrid action spaces, where some actions are continuous and others are discrete. I am aware that implementations of SAC that accommodate hybrid action spaces have been suggested in the literature. Is it feasible to modify the standard Matlab implementations to handle hybrid actions? If not, is there another reinforcement learning algorithm available in Matlab that is suitable for addressing hybrid action spaces? The current implementation of the Soft Actor Critic (SAC) algorithm in Matlab is designed only for problems with continuous or discrete action spaces. I’m facing a problem that requires dealing with hybrid action spaces, where some actions are continuous and others are discrete. I am aware that implementations of SAC that accommodate hybrid action spaces have been suggested in the literature. Is it feasible to modify the standard Matlab implementations to handle hybrid actions? If not, is there another reinforcement learning algorithm available in Matlab that is suitable for addressing hybrid action spaces? hybird reinforcement learning MATLAB Answers — New Questions

Matlab News

Issue with serial communication blocks from support package for arduino nano(CH340 clone)

PuTI / 2025-03-14

I’m using arduino nano(ch340) and implementing serial communication with the Raspberry Pi 4B. I’m using USB cable rather than onboard uart pins. I’ve been trying to send data through serial transmit block (from nano) but no results at all. You cannot use ‘monitor and tune’ so only been reading the data(in both Arduino ide’s serial monitor and rasp pi’s terminal) after uploading the model.
The output in serial monitor is gibberish (boxes) while in terminal(screen) it is not visible at all. I generated a model for rasp pi with serial read block from support package where data is zero and status port indicates ‘data not available’. Tried all three modes for transmit block: write, print, println, but same results. I programmed a test program in arduino ide with serial.println function which was successfully displayed results in both terminal and display from rasp pi simulink model. I’ve successfully implemented basic test models like ‘led blink’ in simulink for arduino so my inference is that the problem is only with serial transmit block and its generated code.
My aim is to establish bidirectional serial communication between Raspberry pi and arduino nano, to exchange multiple values simultaneously(probably having different data types) in an array and separate them for their intended use.I’m using arduino nano(ch340) and implementing serial communication with the Raspberry Pi 4B. I’m using USB cable rather than onboard uart pins. I’ve been trying to send data through serial transmit block (from nano) but no results at all. You cannot use ‘monitor and tune’ so only been reading the data(in both Arduino ide’s serial monitor and rasp pi’s terminal) after uploading the model.
The output in serial monitor is gibberish (boxes) while in terminal(screen) it is not visible at all. I generated a model for rasp pi with serial read block from support package where data is zero and status port indicates ‘data not available’. Tried all three modes for transmit block: write, print, println, but same results. I programmed a test program in arduino ide with serial.println function which was successfully displayed results in both terminal and display from rasp pi simulink model. I’ve successfully implemented basic test models like ‘led blink’ in simulink for arduino so my inference is that the problem is only with serial transmit block and its generated code.
My aim is to establish bidirectional serial communication between Raspberry pi and arduino nano, to exchange multiple values simultaneously(probably having different data types) in an array and separate them for their intended use. I’m using arduino nano(ch340) and implementing serial communication with the Raspberry Pi 4B. I’m using USB cable rather than onboard uart pins. I’ve been trying to send data through serial transmit block (from nano) but no results at all. You cannot use ‘monitor and tune’ so only been reading the data(in both Arduino ide’s serial monitor and rasp pi’s terminal) after uploading the model.
The output in serial monitor is gibberish (boxes) while in terminal(screen) it is not visible at all. I generated a model for rasp pi with serial read block from support package where data is zero and status port indicates ‘data not available’. Tried all three modes for transmit block: write, print, println, but same results. I programmed a test program in arduino ide with serial.println function which was successfully displayed results in both terminal and display from rasp pi simulink model. I’ve successfully implemented basic test models like ‘led blink’ in simulink for arduino so my inference is that the problem is only with serial transmit block and its generated code.
My aim is to establish bidirectional serial communication between Raspberry pi and arduino nano, to exchange multiple values simultaneously(probably having different data types) in an array and separate them for their intended use. serial communication, arduino and raspberry pi MATLAB Answers — New Questions

Matlab News

Ezyfit: Single vs. Two-Step Fitting Problem

PuTI / 2025-03-14

Ezfit (actually I am using the updated version from Walter Roberson) fails to accurately determine all 4 parameters in a single curve fit (see Method A). A workaround, setting 1 parameter initially and then fitting the remaining 3 in a second step (Method B), looks instead successful.
Is there a method or setting within Ezfit to obtain accurate 4-parameter results in a single fitting run (Method A)?
% (1) Input Data
x = [6, 16, 26, 36, 46, 56, 66, 66, 76, 86, 96, 126, 176, 186, 246, 286, 306, 336, 366, 396, 426, 486, 496, 506, 546, 546, 616, 656, 726, 756, 806, 816, 836, 946, 966, 976, 1056, 1066, 1116, 1136, 1176, 1296, 1326, 1386, 1426, 1456, 1476, 1586, 1596, 1736, 1806, 1836, 1846, 1886, 2016, 2046, 2106, 2196, 2296, 2346, 2356, 2366, 2556, 2666, 2806, 2856, 2916, 2976, 3116, 3266, 3366, 3416, 3526, 3726, 3876, 3976, 4386, 4636, 4686, 5246, 5346, 6966];
y = [22.932, 13.063, 10.877, 8.7408, 7.4074, 5.8344, 12.693, 4.8185, 3.5444, 2.6637, 2.2515, 4.5284, 1.7597, 1.5207, 1.1754, 0.74499, 0.75637, 0.28157, 0.35862, 0.37542, 0.27759, 0.25008, 0.11389, 0.23569, 0.16777, 0.084717, 0.11865, 0.03168, 0.085227, 0.042803, 0.038632, 0.016028, 0.049869, 0.034689, 0.025157, 0.0064107, 0.017007, 0.0067062, 0.012242, 0.0065558, 0.014677, 0.0048147, 0.0048443, 0.0045972, 0.0059391, 0.0024968, 0.0050464, 0.0024622, 0.0053329, 0.0038574, 0.0035999, 0.0022632, 0.00147, 0.00098146, 0.0012814, 0.0024717, 0.00073639, 0.00073862, 0.0013448, 0.00088996, 0.00096546, 0.00084, 0.00062343, 0.0014789, 0.00050959, 0.00027922, 0.00055839, 0.0019602, 0.00098146, 0.00020941, 0.00028421, 0.00075468, 0.00031831, 0.00055524, 0.00055844, 0.00039789, 0.00031207, 0.00072048, 0.00021507, 0.0004718, 0.00018294, 0.00018086];

% (2) Method A: Perform a simple curve fitting with Ezfit
ft1 = ezfit(x,log(y),’log(a*x^(-b) + c*exp(-d*x))’,’MaxFunEvals’, 1e6, ‘MaxIter’, 1e6); %, ‘usega’, usega);
array2table([ft1.m(1) ft1.m(2) ft1.m(3) ft1.m(4) (ft1.r)^2],’VariableNames’,{‘a’,’b’,’c’,’d’,’R2′})
% a b c d R2
% _____ ______ ______ _____ _______
%
% 56106 2.2236 -85026 49582 0.85991

% (3) Method B: Perform curve fitting by using Ezfit 2 times
% (3.1) With the first Ezfit, find the exponent "b" (among a range of values between 1.5 and 2.5)
% which maximise the coefficient of determination R^2 (I set it as R^2 = 0.99).
% The resulting exponent will be "b_range(idx_max_b) = 1.86".
i = 1;
b_range = 1.5 : 0.01 : 2.5;
for b = b_range
ft2 = ezfit(x,log(y),sprintf(‘log(a*x^(-%.2f) + c*exp(-d*x))’,b),’options’,optimset(‘MaxFunEvals’, 1e6, ‘MaxIter’, 1e6));
ftr(i) = (ft2.r)^2;
i = i + 1;
end
idx_max_b = find(ftr == max(ftr(ftr < 0.99)));

% (3.2) Following the initial determination of the optimal exponent "b" (i.e. "b_range(idx_max_b)"),
% the second Ezfit step finds the remaining parameters
ft3 = ezfit(x,log(y),sprintf(‘log(a*x^(-%.2f) + c*exp(-d*x))’,b_range(idx_max_b)),’options’,optimset(‘MaxFunEvals’, 1e6, ‘MaxIter’, 1e6));
array2table([ft3.m(1) b_range(idx_max_b) ft3.m(2) ft3.m(3) (ft3.r)^2],’VariableNames’,{‘a’,’b’,’c’,’d’,’R2′})
% a b c d R2
% ______ ____ _____ _________ _______
%
% 2084.4 1.86 4.806 0.0064196 0.98323

% (4) Plot
hold on
plot(x, y, ‘o’, ‘MarkerFaceColor’,[0.7 0.7 0.7],’DisplayName’, ‘Input Data’);
xx = 10 : 10000;
plot(xx, ft1.m(1) .* xx.^(-ft1.m(2)) + ft1.m(3) .* exp(-ft1.m(4) .* xx), ‘color’,’blue’, ‘Linewidth’,2, ‘DisplayName’, ‘Method A’);
plot(xx, ft3.m(1) .* xx.^(-b_range(idx_max_b)) + ft3.m(2) .* exp(-ft3.m(3) .* xx), ‘color’, ‘red’, ‘Linewidth’,2, ‘DisplayName’, ‘Method B’)
xlabel(‘x’);
ylabel(‘y’);
legend(‘show’);
set(gca, ‘XScale’, ‘log’, ‘YScale’, ‘log’)Ezfit (actually I am using the updated version from Walter Roberson) fails to accurately determine all 4 parameters in a single curve fit (see Method A). A workaround, setting 1 parameter initially and then fitting the remaining 3 in a second step (Method B), looks instead successful.
Is there a method or setting within Ezfit to obtain accurate 4-parameter results in a single fitting run (Method A)?
% (1) Input Data
x = [6, 16, 26, 36, 46, 56, 66, 66, 76, 86, 96, 126, 176, 186, 246, 286, 306, 336, 366, 396, 426, 486, 496, 506, 546, 546, 616, 656, 726, 756, 806, 816, 836, 946, 966, 976, 1056, 1066, 1116, 1136, 1176, 1296, 1326, 1386, 1426, 1456, 1476, 1586, 1596, 1736, 1806, 1836, 1846, 1886, 2016, 2046, 2106, 2196, 2296, 2346, 2356, 2366, 2556, 2666, 2806, 2856, 2916, 2976, 3116, 3266, 3366, 3416, 3526, 3726, 3876, 3976, 4386, 4636, 4686, 5246, 5346, 6966];
y = [22.932, 13.063, 10.877, 8.7408, 7.4074, 5.8344, 12.693, 4.8185, 3.5444, 2.6637, 2.2515, 4.5284, 1.7597, 1.5207, 1.1754, 0.74499, 0.75637, 0.28157, 0.35862, 0.37542, 0.27759, 0.25008, 0.11389, 0.23569, 0.16777, 0.084717, 0.11865, 0.03168, 0.085227, 0.042803, 0.038632, 0.016028, 0.049869, 0.034689, 0.025157, 0.0064107, 0.017007, 0.0067062, 0.012242, 0.0065558, 0.014677, 0.0048147, 0.0048443, 0.0045972, 0.0059391, 0.0024968, 0.0050464, 0.0024622, 0.0053329, 0.0038574, 0.0035999, 0.0022632, 0.00147, 0.00098146, 0.0012814, 0.0024717, 0.00073639, 0.00073862, 0.0013448, 0.00088996, 0.00096546, 0.00084, 0.00062343, 0.0014789, 0.00050959, 0.00027922, 0.00055839, 0.0019602, 0.00098146, 0.00020941, 0.00028421, 0.00075468, 0.00031831, 0.00055524, 0.00055844, 0.00039789, 0.00031207, 0.00072048, 0.00021507, 0.0004718, 0.00018294, 0.00018086];

% (4) Plot
hold on
plot(x, y, ‘o’, ‘MarkerFaceColor’,[0.7 0.7 0.7],’DisplayName’, ‘Input Data’);
xx = 10 : 10000;
plot(xx, ft1.m(1) .* xx.^(-ft1.m(2)) + ft1.m(3) .* exp(-ft1.m(4) .* xx), ‘color’,’blue’, ‘Linewidth’,2, ‘DisplayName’, ‘Method A’);
plot(xx, ft3.m(1) .* xx.^(-b_range(idx_max_b)) + ft3.m(2) .* exp(-ft3.m(3) .* xx), ‘color’, ‘red’, ‘Linewidth’,2, ‘DisplayName’, ‘Method B’)
xlabel(‘x’);
ylabel(‘y’);
legend(‘show’);
set(gca, ‘XScale’, ‘log’, ‘YScale’, ‘log’) Ezfit (actually I am using the updated version from Walter Roberson) fails to accurately determine all 4 parameters in a single curve fit (see Method A). A workaround, setting 1 parameter initially and then fitting the remaining 3 in a second step (Method B), looks instead successful.
Is there a method or setting within Ezfit to obtain accurate 4-parameter results in a single fitting run (Method A)?
% (1) Input Data
x = [6, 16, 26, 36, 46, 56, 66, 66, 76, 86, 96, 126, 176, 186, 246, 286, 306, 336, 366, 396, 426, 486, 496, 506, 546, 546, 616, 656, 726, 756, 806, 816, 836, 946, 966, 976, 1056, 1066, 1116, 1136, 1176, 1296, 1326, 1386, 1426, 1456, 1476, 1586, 1596, 1736, 1806, 1836, 1846, 1886, 2016, 2046, 2106, 2196, 2296, 2346, 2356, 2366, 2556, 2666, 2806, 2856, 2916, 2976, 3116, 3266, 3366, 3416, 3526, 3726, 3876, 3976, 4386, 4636, 4686, 5246, 5346, 6966];
y = [22.932, 13.063, 10.877, 8.7408, 7.4074, 5.8344, 12.693, 4.8185, 3.5444, 2.6637, 2.2515, 4.5284, 1.7597, 1.5207, 1.1754, 0.74499, 0.75637, 0.28157, 0.35862, 0.37542, 0.27759, 0.25008, 0.11389, 0.23569, 0.16777, 0.084717, 0.11865, 0.03168, 0.085227, 0.042803, 0.038632, 0.016028, 0.049869, 0.034689, 0.025157, 0.0064107, 0.017007, 0.0067062, 0.012242, 0.0065558, 0.014677, 0.0048147, 0.0048443, 0.0045972, 0.0059391, 0.0024968, 0.0050464, 0.0024622, 0.0053329, 0.0038574, 0.0035999, 0.0022632, 0.00147, 0.00098146, 0.0012814, 0.0024717, 0.00073639, 0.00073862, 0.0013448, 0.00088996, 0.00096546, 0.00084, 0.00062343, 0.0014789, 0.00050959, 0.00027922, 0.00055839, 0.0019602, 0.00098146, 0.00020941, 0.00028421, 0.00075468, 0.00031831, 0.00055524, 0.00055844, 0.00039789, 0.00031207, 0.00072048, 0.00021507, 0.0004718, 0.00018294, 0.00018086];

Matlab News

MATLAB crashes whenever running simulation in a .slx file

PuTI / 2025-03-14

whenever I run the simulation in any simulink file (.slx) matlab crashes:
the crash log:

MATLAB Log File: C:UsersengmhAppDataLocalTempmatlab_crash_dump.12920-1

————————————————
MATLAB Log File
————————————————

——————————————————————————–
Access violation detected at 2022-04-07 06:39:14 +0200
——————————————————————————–

Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Default Encoding : windows-1252
Deployed : false
Graphics Driver : Unknown hardware
Graphics card 1 : NVIDIA ( 0x10de ) NVIDIA GeForce RTX 2060 Version 30.0.15.1215 (2022-3-17)
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 : 6257193
MATLAB Root : C:Program FilesPolyspaceR2021a
MATLAB Version : 9.10.0.1602886 (R2021a)
OpenGL : hardware
Operating System : Microsoft Windows 11 Home
Process ID : 12920
Processor ID : x86 Family 6 Model 158 Stepping 10, GenuineIntel
Window System : Version 10.0 (Build 22000)

Fault Count: 1

Abnormal termination:
Access violation

Current Thread: ‘MCR 0 interpreter thread’ id 15084

Register State (from fault):
RAX = 00007ffd8c1f1ad0 RBX = 0000001d48cf9760
RCX = 0000020ee0bd5480 RDX = 0000020e276d0000
RSP = 0000001d48cf8c38 RBP = 0000001d48cf8d70
RSI = 0000001d48cf9120 RDI = 0000001d48cf9760

R8 = 0000020e27645280 R9 = 0000000000000001
R10 = 0000020e27640000 R11 = 0000001d48cf8ba0
R12 = 0000000000000000 R13 = 0000000000000001
R14 = 0000020ee1632d70 R15 = 0000020ee3413e60

RIP = 00007ffd88c856c6 EFL = 00010206

CS = 0033 FS = 0053 GS = 002b

Stack Trace (from fault):
[ 0] 0x00007ffd88c856c6 C:Program FilesPolyspaceR2021abinwin64sl_graphical_classes.dll+06510278 BDConfigSetInfo::getRTWComponent+00000086
[ 1] 0x0000020ee163323c <unknown-module>+00000000
[ 2] 0x00007ffd88344873 C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+05130355 XFormScope::apply+00011443
[ 3] 0x00007ffd87f3cb84 C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+00904068 getSlEngineEventPair+00002692
[ 4] 0x00007ffd87f269b0 C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+00813488 ssSetGrBlkMaxFreqHz+00004336
[ 5] 0x00007ffd87f360c9 C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+00876745 slplugin::MasterCompEvent::~MasterCompEvent+00004329
[ 6] 0x00007ffd87f2ad6d C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+00830829 ssSetGrBlkMaxFreqHz+00021677
[ 7] 0x00007ffd87f37760 C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+00882528 slplugin::ProcessEngineEvent+00000336
[ 8] 0x00007ffd87f3a041 C:Program FilesPolyspaceR2021abinwin64sl_engine_classes.dll+00892993 bdPostEngineEvent+00000209
[ 9] 0x00007ffd7dc9f280 C:Program FilesPolyspaceR2021abinwin64sl_compile.dll+03469952 SLOutportWithFcnCallInitPassThru::throwErrorOnInvalidICSrc+00002720
[ 10] 0x00007ffd7dce3dcb C:Program FilesPolyspaceR2021abinwin64sl_compile.dll+03751371 VarHiddenConnectionInfo::setNIForRemoval+00010315
[ 11] 0x00007ffd7dce3f88 C:Program FilesPolyspaceR2021abinwin64sl_compile.dll+03751816 VarHiddenConnectionInfo::setNIForRemoval+00010760
[ 12] 0x00007ffd7dc8722a C:Program FilesPolyspaceR2021abinwin64sl_compile.dll+03371562 SLCompDiagramImpl+00040618
[ 13] 0x00007ffd7dc7d68a C:Program FilesPolyspaceR2021abinwin64sl_compile.dll+03331722 SLCompDiagramImpl+00000778
[ 14] 0x00007ffd895fd146 C:Program FilesPolyspaceR2021abinwin64sl_link_bd.dll+01102150 slink::CreateSlModelForLink+00000758
[ 15] 0x00007ffd895fce73 C:Program FilesPolyspaceR2021abinwin64sl_link_bd.dll+01101427 slink::CreateSlModelForLink+00000035
[ 16] 0x00007ffd8bbf3ee4 C:Program FilesPolyspaceR2021abinwin64libmwsimulink.dll+15810276 slstSetOutputPortRateID+00130612
[ 17] 0x00007ffd8bbf9d26 C:Program FilesPolyspaceR2021abinwin64libmwsimulink.dll+15834406 slstSetOutputPortRateID+00154742
[ 18] 0x00007ffd8bc004a7 C:Program FilesPolyspaceR2021abinwin64libmwsimulink.dll+15860903 slstSetOutputPortRateID+00181239
[ 19] 0x00007ffd8bc3bcf2 C:Program FilesPolyspaceR2021abinwin64libmwsimulink.dll+16104690 slstSetOutputPortRateID+00425026
[ 20] 0x00007ffd8b031022 C:Program FilesPolyspaceR2021abinwin64libmwsimulink.dll+03477538 ExitPauseInDebuggerMenuSim+00001346
[ 21] 0x00007ffd8b803706 C:Program FilesPolyspaceR2021abinwin64libmwsimulink.dll+11679494 SLGlue::simulationStartPauseContinueNARMode+00000182
[ 22] 0x00007ffd60cf5509 C:Program FilesPolyspaceR2021abinwin64sl_mi.dll+00349449 SLM3I::mi::initCosSFBlockOpenNotification+00074009
[ 23] 0x00007ffdb156d42e binwin64pgomcos_impl.dll+00381998
[ 24] 0x00007ffdb156c9d5 binwin64pgomcos_impl.dll+00379349
[ 25] 0x00007ffdb156c670 binwin64pgomcos_impl.dll+00378480
[ 26] 0x00007ffdb15ad543 binwin64pgomcos_impl.dll+00644419 mdMethodListAllFcn+00084595
[ 27] 0x00007ffdb15ad458 binwin64pgomcos_impl.dll+00644184 mdMethodListAllFcn+00084360
[ 28] 0x00007ffdb15ad33e binwin64pgomcos_impl.dll+00643902 mdMethodListAllFcn+00084078
[ 29] 0x00007ffdb157083d binwin64pgomcos_impl.dll+00395325 mdIsA+00002017
[ 30] 0x00007ffdcb434630 binwin64pgom_dispatcher.dll+00083504 Mfh_MATLAB_fn_impl::ensure_loading_of_load_module+00001856
[ 31] 0x00007ffdcb4347b9 binwin64pgom_dispatcher.dll+00083897 Mfh_MATLAB_fn_impl::dispatch_with_reuse+00000045
[ 32] 0x00007ffdc853a62e binwin64pgom_lxe.dll+00370222
[ 33] 0x00007ffdc85ba093 binwin64pgom_lxe.dll+00893075 MathWorks::lxe::initializeFcn+00521059
[ 34] 0x00007ffe8170f68c binwin64pgolibmx.dll+00652940 matrix::detail::noninlined::mx_array_api::mxFevalFunctionHandle+00000036
[ 35] 0x00007ffdcb225a75 binwin64pgom_interpreter.dll+00154229 mwboost::serialization::singleton<mwboost::serialization::extended_type_info_typeid<MathWorks::ExecutionEvents::UncaughtErrorEvent> >::singleton<mwboost::serialization::extended_type_info_typeid<MathWorks::ExecutionEvents::UncaughtErrorEvent> >+00027445
[ 36] 0x00007ffdc8258bea C:Program FilesPolyspaceR2021abinwin64builtin.dll+00101354 MathWorks::builtin::BuiltinFcn::invoke+00001130
[ 37] 0x00007ffdcb444b1c binwin64pgom_dispatcher.dll+00150300 Mfh_MATLAB_fn_impl::dispatch_mf_with_reuse+00000136
[ 38] 0x00007ffdcb434630 binwin64pgom_dispatcher.dll+00083504 Mfh_MATLAB_fn_impl::ensure_loading_of_load_module+00001856
[ 39] 0x00007ffdcb4347b9 binwin64pgom_dispatcher.dll+00083897 Mfh_MATLAB_fn_impl::dispatch_with_reuse+00000045
[ 40] 0x00007ffdc853a62e binwin64pgom_lxe.dll+00370222
[ 41] 0x00007ffdc8536436 binwin64pgom_lxe.dll+00353334
[ 42] 0x00007ffdc853638f binwin64pgom_lxe.dll+00353167
[ 43] 0x00007ffdcb20d550 binwin64pgom_interpreter.dll+00054608 inCallFcn+00000084
[ 44] 0x00007ffdc869f126 binwin64pgom_lxe.dll+01831206 mwboost::archive::detail::oserializer<mwboost::archive::binaryTerm_oarchive,MathWorks::lxe::ClosedAbstractionFunctionDescriptorOwningIrTree>::oserializer<mwboost::archive::binaryTerm_oarchive,MathWorks::lxe::ClosedAbstractionFunctionDescriptorOwningIrTree>+00022786
[ 45] 0x00007ffdcb2126e2 binwin64pgom_interpreter.dll+00075490 inCallFcnWithTrap+00000098
[ 46] 0x00007ffd677f4bc9 C:Program FilesPolyspaceR2021abinwin64dig.dll+03623881 dig::FunctionInfoToArray+00000649
[ 47] 0x00007ffd677c121a C:Program FilesPolyspaceR2021abinwin64dig.dll+03412506 dig::ActionCallback::operator()+00000826
[ 48] 0x00007ffd677c0efd C:Program FilesPolyspaceR2021abinwin64dig.dll+03411709 dig::ActionCallback::operator()+00000029
[ 49] 0x00007ffd676b27d4 C:Program FilesPolyspaceR2021abinwin64dig.dll+02303956 dig::ActionService::executeActionImpl+00001732
[ 50] 0x00007ffd676b185f C:Program FilesPolyspaceR2021abinwin64dig.dll+02299999 dig::ActionService::executeAction+00000287
[ 51] 0x00007ffd676b1e64 C:Program FilesPolyspaceR2021abinwin64dig.dll+02301540 dig::ActionService::executeAction+00000388
[ 52] 0x00007ffd67846164 C:Program FilesPolyspaceR2021abinwin64dig.dll+03957092 dig::View::handleEvent+00001252
[ 53] 0x00007ffd6783dc38 C:Program FilesPolyspaceR2021abinwin64dig.dll+03923000 dig::ToolStrip::handleEvent+00001704
[ 54] 0x00007ffd6771a182 C:Program FilesPolyspaceR2021abinwin64dig.dll+02728322 dig::UDDPropertyAdapter::setPropertyValue+00011682
[ 55] 0x00007ffd6765b3ab C:Program FilesPolyspaceR2021abinwin64dig.dll+01946539 dig::config::Widget::Impl::printHierarchy+00101019
[ 56] 0x00007ffd6764b9f3 C:Program FilesPolyspaceR2021abinwin64dig.dll+01882611 dig::config::Widget::Impl::printHierarchy+00037091
[ 57] 0x00007ffd6765f2f0 C:Program FilesPolyspaceR2021abinwin64dig.dll+01962736 dig::config::Widget::Impl::printHierarchy+00117216
[ 58] 0x00007ffdcb7a392a C:Program FilesPolyspaceR2021abinwin64iqm.dll+00801066 iqm::PackagedTaskPlugin::execute+00000074
[ 59] 0x00007ffdcb5ae1ed C:Program FilesPolyspaceR2021abinwin64mcr.dll+00516589 services::lmgr::exception::LicensingStartupException::~LicensingStartupException+00009613
[ 60] 0x00007ffdcb7765ec C:Program FilesPolyspaceR2021abinwin64iqm.dll+00615916 iqm::Iqm::setupIqmFcnPtrs+00106204
[ 61] 0x00007ffdcb7471f0 C:Program FilesPolyspaceR2021abinwin64iqm.dll+00422384 iqm::Iqm::create+00007024
[ 62] 0x00007ffdcafb8eaf C:Program FilesPolyspaceR2021abinwin64libmwbridge.dll+00102063 ioReadLine+00000463
[ 63] 0x00007ffdcafb8ca5 C:Program FilesPolyspaceR2021abinwin64libmwbridge.dll+00101541 ioReadLine+00000165
[ 64] 0x00007ffdcafca761 C:Program FilesPolyspaceR2021abinwin64libmwbridge.dll+00173921 mnGetCommandLineBuffer+00000289
[ 65] 0x00007ffdcafcabb7 C:Program FilesPolyspaceR2021abinwin64libmwbridge.dll+00175031 mnParser+00000487
[ 66] 0x00007ffdcb5b3d86 C:Program FilesPolyspaceR2021abinwin64mcr.dll+00540038 mcr_set_enableReadingFromStdin+00013894
[ 67] 0x00007ffdcb54f5d3 C:Program FilesPolyspaceR2021abinwin64mcr.dll+00128467 mcrFunctionSignature::set_signature+00107555
[ 68] 0x00007ffdcb56b550 C:Program FilesPolyspaceR2021abinwin64mcr.dll+00243024 mcrFunctionSignature::set_signature+00222112
[ 69] 0x00007ffdcb7a392a C:Program FilesPolyspaceR2021abinwin64iqm.dll+00801066 iqm::PackagedTaskPlugin::execute+00000074
[ 70] 0x00007ffdcb5ae1ed C:Program FilesPolyspaceR2021abinwin64mcr.dll+00516589 services::lmgr::exception::LicensingStartupException::~LicensingStartupException+00009613
[ 71] 0x00007ffdcb7765ec C:Program FilesPolyspaceR2021abinwin64iqm.dll+00615916 iqm::Iqm::setupIqmFcnPtrs+00106204
[ 72] 0x00007ffdcb7484bc C:Program FilesPolyspaceR2021abinwin64iqm.dll+00427196 iqm::Iqm::create+00011836
[ 73] 0x00007ffdcb747c32 C:Program FilesPolyspaceR2021abinwin64iqm.dll+00425010 iqm::Iqm::create+00009650
[ 74] 0x00007ffdcb5858fc C:Program FilesPolyspaceR2021abinwin64mcr.dll+00350460 mcrInstantiationError::operator=+00010428
[ 75] 0x00007ffdcb5864ac C:Program FilesPolyspaceR2021abinwin64mcr.dll+00353452 mcrInstantiationError::operator=+00013420
[ 76] 0x00007ffdcb583ac0 C:Program FilesPolyspaceR2021abinwin64mcr.dll+00342720 mcrInstantiationError::operator=+00002688
[ 77] 0x00007ffe84b79b9a C:Program FilesPolyspaceR2021abinwin64mwboost_thread-vc142-mt-x64-1_72.dll+00039834 mwboost::thread::swap+00000074
[ 78] 0x00007ffe8e6b6c0c C:WINDOWSSystem32ucrtbase.dll+00158732 recalloc+00000092
[ 79] 0x00007ffe8f2354e0 C:WINDOWSSystem32KERNEL32.DLL+00087264 BaseThreadInitThunk+00000016
[ 80] 0x00007ffe90be485b C:WINDOWSSYSTEM32ntdll.dll+00018523 RtlUserThreadStart+00000043

Program State:

Most Recent Simulink Activity:
playSimulationAction : OK in editor 1 at Thu Apr 7 06:39:12 2022
logEventsAction : OK in editor 1 at Thu Apr 7 06:39:06 2022whenever I run the simulation in any simulink file (.slx) matlab crashes:
the crash log:

MATLAB Log File: C:UsersengmhAppDataLocalTempmatlab_crash_dump.12920-1

————————————————
MATLAB Log File
————————————————

Fault Count: 1

Abnormal termination:
Access violation

Current Thread: ‘MCR 0 interpreter thread’ id 15084

R8 = 0000020e27645280 R9 = 0000000000000001
R10 = 0000020e27640000 R11 = 0000001d48cf8ba0
R12 = 0000000000000000 R13 = 0000000000000001
R14 = 0000020ee1632d70 R15 = 0000020ee3413e60

RIP = 00007ffd88c856c6 EFL = 00010206

CS = 0033 FS = 0053 GS = 002b

Program State:

Most Recent Simulink Activity:
playSimulationAction : OK in editor 1 at Thu Apr 7 06:39:12 2022
logEventsAction : OK in editor 1 at Thu Apr 7 06:39:06 2022 whenever I run the simulation in any simulink file (.slx) matlab crashes:
the crash log:

MATLAB Log File: C:UsersengmhAppDataLocalTempmatlab_crash_dump.12920-1

————————————————
MATLAB Log File
————————————————

Fault Count: 1

Abnormal termination:
Access violation

Current Thread: ‘MCR 0 interpreter thread’ id 15084

R8 = 0000020e27645280 R9 = 0000000000000001
R10 = 0000020e27640000 R11 = 0000001d48cf8ba0
R12 = 0000000000000000 R13 = 0000000000000001
R14 = 0000020ee1632d70 R15 = 0000020ee3413e60

RIP = 00007ffd88c856c6 EFL = 00010206

CS = 0033 FS = 0053 GS = 002b

Program State:

Most Recent Simulink Activity:
playSimulationAction : OK in editor 1 at Thu Apr 7 06:39:12 2022
logEventsAction : OK in editor 1 at Thu Apr 7 06:39:06 2022 crash, simulink crash, matlab crash, simulation crash MATLAB Answers — New Questions

Matlab News

Is there any way to transfer the digital credentials I earned to a different email account?

PuTI / 2025-03-14

Is there any way for the digital credentials I earned to be transferred to a different email account as the account in which I earned the digital credentials in, is my college email id and that account would be deactivated at the end of my college that is 2026.
So transfering the credits to my personal account will be of great help so as to be able to include them to my CV and/or resume.Is there any way for the digital credentials I earned to be transferred to a different email account as the account in which I earned the digital credentials in, is my college email id and that account would be deactivated at the end of my college that is 2026.
So transfering the credits to my personal account will be of great help so as to be able to include them to my CV and/or resume. Is there any way for the digital credentials I earned to be transferred to a different email account as the account in which I earned the digital credentials in, is my college email id and that account would be deactivated at the end of my college that is 2026.
So transfering the credits to my personal account will be of great help so as to be able to include them to my CV and/or resume. digital credentials, email account MATLAB Answers — New Questions

Matlab News

Refresh overlaid plots without “hold on/hold off” in each loop iteration

PuTI / 2025-03-14

I have a script with multiple figures that are updated in a for loop using their figure and axes handles. One of the figures is a pair of scatterplots overlaid on each other. I need both these concurrent scatterplots cleared at the beginning of each iteration, before updating with the new data for both of them. When using the "hold on" command to overlay the scatterplots on a single figure, I am unable to clear the second one for the next loop iteration using the "set" command. Here’s a snippet of my code:
for i = 1 to N

% Figure 1 (with overlaid scatterplots)
if ~(exist(fig1))
fig1 = figure;
f1 = subplot(2,1,1,’Parent’,fig1);
%% Overlay 2 scatterplots in this subplot %%
sc1 = scatter(x1,y1,’b’,’Parent’,f1);
hold on;
scatter(x2,y2,’r’,’Parent’,f1);
% Other subplots %
else
figure(fig1)
% Update new info for both scatterplots and overlay them in the first subplot
set(sc1,’XData’,x1,’YData’,y1,’CData’,repmat(sc1.CData(1,:)),’Parent’,f1);
hold on;
scatter(x2,y2,’r’,’Parent’,f1);
% Other subplots %
end

% Plot some other figure
if ~(exist(fig2))
fig2 = figure;
ax = axes(‘Parent’,fig1);
% Plot Figure 2
else
figure(fig2)
% Figure 2 plots and legends using ax
end

end
The problem is, the second scatterplot does not get cleared in the next loop iteration when set(sc1,…) is called. I tried the cla(f1,’reset’) command, but that deletes all the XData, YData variables, which I need to exist in order to update.
I think the "hold on" is creating the persistence issue, but adding "hold off" after the second scatter just clears the entire subfigure including axes.
Is there some other way to accomplish the goal of overlaid scatterplots refreshed in each loop?I have a script with multiple figures that are updated in a for loop using their figure and axes handles. One of the figures is a pair of scatterplots overlaid on each other. I need both these concurrent scatterplots cleared at the beginning of each iteration, before updating with the new data for both of them. When using the "hold on" command to overlay the scatterplots on a single figure, I am unable to clear the second one for the next loop iteration using the "set" command. Here’s a snippet of my code:
for i = 1 to N

% Plot some other figure
if ~(exist(fig2))
fig2 = figure;
ax = axes(‘Parent’,fig1);
% Plot Figure 2
else
figure(fig2)
% Figure 2 plots and legends using ax
end

end
The problem is, the second scatterplot does not get cleared in the next loop iteration when set(sc1,…) is called. I tried the cla(f1,’reset’) command, but that deletes all the XData, YData variables, which I need to exist in order to update.
I think the "hold on" is creating the persistence issue, but adding "hold off" after the second scatter just clears the entire subfigure including axes.
Is there some other way to accomplish the goal of overlaid scatterplots refreshed in each loop? I have a script with multiple figures that are updated in a for loop using their figure and axes handles. One of the figures is a pair of scatterplots overlaid on each other. I need both these concurrent scatterplots cleared at the beginning of each iteration, before updating with the new data for both of them. When using the "hold on" command to overlay the scatterplots on a single figure, I am unable to clear the second one for the next loop iteration using the "set" command. Here’s a snippet of my code:
for i = 1 to N

% Plot some other figure
if ~(exist(fig2))
fig2 = figure;
ax = axes(‘Parent’,fig1);
% Plot Figure 2
else
figure(fig2)
% Figure 2 plots and legends using ax
end

Matlab News

Stability Margins for MIMO Feedback Loop

PuTI / 2025-03-14

Hello,
I have this NDI-Controller for the lateral motion of an aircraft modelled in Simuink and want to determine its stabiity margins. I am strugging in how to linearize the open feedback loop. I placed an ‘looptransfer’ analysis point after my Control Allocation, hence the control input. When I now linearize the open-loop with the Model Linearizer, and determine the margins in MATLAB with ‘allmargin(-linsys)’, it says, that my open-loop is not stable.

For me it seems, like I am using the Matlab Linearizer not correctly, as my outputs of the feedback loop seem stable. The same to all the poles.

Does anyone have an idea, how I should linearize the feedback loop to receive the correct gain & phase margins? Would be so helpful.
Thanks a lot.

Cheers,
FloHello,
I have this NDI-Controller for the lateral motion of an aircraft modelled in Simuink and want to determine its stabiity margins. I am strugging in how to linearize the open feedback loop. I placed an ‘looptransfer’ analysis point after my Control Allocation, hence the control input. When I now linearize the open-loop with the Model Linearizer, and determine the margins in MATLAB with ‘allmargin(-linsys)’, it says, that my open-loop is not stable.

For me it seems, like I am using the Matlab Linearizer not correctly, as my outputs of the feedback loop seem stable. The same to all the poles.

Does anyone have an idea, how I should linearize the feedback loop to receive the correct gain & phase margins? Would be so helpful.
Thanks a lot.

Cheers,
Flo Hello,
I have this NDI-Controller for the lateral motion of an aircraft modelled in Simuink and want to determine its stabiity margins. I am strugging in how to linearize the open feedback loop. I placed an ‘looptransfer’ analysis point after my Control Allocation, hence the control input. When I now linearize the open-loop with the Model Linearizer, and determine the margins in MATLAB with ‘allmargin(-linsys)’, it says, that my open-loop is not stable.

For me it seems, like I am using the Matlab Linearizer not correctly, as my outputs of the feedback loop seem stable. The same to all the poles.

Does anyone have an idea, how I should linearize the feedback loop to receive the correct gain & phase margins? Would be so helpful.
Thanks a lot.

Cheers,
Flo model linearizer, simulink, matlab, margins, allmargins, stabiity, gain margin, feedback, open-loop, open loop, plant, looptransfer, control design, poles MATLAB Answers — New Questions

Matlab News

I have been trying to derivate equation under to find the formula for 3 parameters Weibull distribution as same as picture. Can someone please help me fix it?

PuTI / 2025-03-13

syms m sigma_i sigma_0 sigma_th i N
lnL = symsum(ln((m/sigma_0) * ((sigma_i – sigma_th) / sigma_0))^(m-1) * exp(-(((sigma_i – sigma_th) / sigma_0) ^m)), i, 1, N);
Df_m = diff(lnL,m)
Df_sigma_0 = diff(lnL,sigma_0)
Df_sigma_th = diff(lnL,sigma_th)syms m sigma_i sigma_0 sigma_th i N
lnL = symsum(ln((m/sigma_0) * ((sigma_i – sigma_th) / sigma_0))^(m-1) * exp(-(((sigma_i – sigma_th) / sigma_0) ^m)), i, 1, N);
Df_m = diff(lnL,m)
Df_sigma_0 = diff(lnL,sigma_0)
Df_sigma_th = diff(lnL,sigma_th) syms m sigma_i sigma_0 sigma_th i N
lnL = symsum(ln((m/sigma_0) * ((sigma_i – sigma_th) / sigma_0))^(m-1) * exp(-(((sigma_i – sigma_th) / sigma_0) ^m)), i, 1, N);
Df_m = diff(lnL,m)
Df_sigma_0 = diff(lnL,sigma_0)
Df_sigma_th = diff(lnL,sigma_th) derivatives of expressions with several variables MATLAB Answers — New Questions

Matlab News

ThingsSpeak not receiving data from The Things Stack

PuTI / 2025-03-13

I have a ERS Co2 sensor. It is connected to the TTN and the TTN is receiving the data. I want to connect it to ThingSpeak.
First, I used the payload uplink formatter recommended by the ELSYS company in the TTN (See the file attached: Elsys_Sensor.txt).
After I went through some ThingSpeak tutorials – I used the payload uplink formatter in the file Elys_Sensor_Adapted with the program returning the required data in Fields.
Still the ThingSpeak doesnt receive any data.
Note: I used the Channel ID and the Write API in the TTN to add ThingSpeak as webhook.I have a ERS Co2 sensor. It is connected to the TTN and the TTN is receiving the data. I want to connect it to ThingSpeak.
First, I used the payload uplink formatter recommended by the ELSYS company in the TTN (See the file attached: Elsys_Sensor.txt).
After I went through some ThingSpeak tutorials – I used the payload uplink formatter in the file Elys_Sensor_Adapted with the program returning the required data in Fields.
Still the ThingSpeak doesnt receive any data.
Note: I used the Channel ID and the Write API in the TTN to add ThingSpeak as webhook. I have a ERS Co2 sensor. It is connected to the TTN and the TTN is receiving the data. I want to connect it to ThingSpeak.
First, I used the payload uplink formatter recommended by the ELSYS company in the TTN (See the file attached: Elsys_Sensor.txt).
After I went through some ThingSpeak tutorials – I used the payload uplink formatter in the file Elys_Sensor_Adapted with the program returning the required data in Fields.
Still the ThingSpeak doesnt receive any data.
Note: I used the Channel ID and the Write API in the TTN to add ThingSpeak as webhook. thingspeak MATLAB Answers — New Questions

Matlab News

Call a simulink function from an s-function

PuTI / 2025-03-13

How can I call a simulink function from within an own s-function block?
(There are examples of how to output a function call triggering a function call subsystem. But that’s not intended.)
Basically I want to rebuild the existing "Function Caller" block with an own s-function. How does s-function code look like for such an approach?
And will it be linked/ shown by function connectors if simulink function is provided?
Thanks.How can I call a simulink function from within an own s-function block?
(There are examples of how to output a function call triggering a function call subsystem. But that’s not intended.)
Basically I want to rebuild the existing "Function Caller" block with an own s-function. How does s-function code look like for such an approach?
And will it be linked/ shown by function connectors if simulink function is provided?
Thanks. How can I call a simulink function from within an own s-function block?
(There are examples of how to output a function call triggering a function call subsystem. But that’s not intended.)
Basically I want to rebuild the existing "Function Caller" block with an own s-function. How does s-function code look like for such an approach?
And will it be linked/ shown by function connectors if simulink function is provided?
Thanks. s function, simulink function, function connector MATLAB Answers — New Questions

Matlab News

How can I have Matlab Simulink autocode program read data from an external file?

PuTI / 2025-03-13

I have a Simulink model that contains calculations that I want to have it perform on different external data files. I want to generate C-code autocode from the model that I can compile into an EXE application file. I would like the application to prompt me for the input data file to read and an output file to write the results. I’m having difficulty figuring out what I need to put in the model for the I/O interface and how to type cast all the I/O variables. I would really like some kind of an example for doing simple external file I/O just to get me started but i haven’t been able to find anything in my searches yet. Any hints or suggestions would be appreciated – thank you!I have a Simulink model that contains calculations that I want to have it perform on different external data files. I want to generate C-code autocode from the model that I can compile into an EXE application file. I would like the application to prompt me for the input data file to read and an output file to write the results. I’m having difficulty figuring out what I need to put in the model for the I/O interface and how to type cast all the I/O variables. I would really like some kind of an example for doing simple external file I/O just to get me started but i haven’t been able to find anything in my searches yet. Any hints or suggestions would be appreciated – thank you! I have a Simulink model that contains calculations that I want to have it perform on different external data files. I want to generate C-code autocode from the model that I can compile into an EXE application file. I would like the application to prompt me for the input data file to read and an output file to write the results. I’m having difficulty figuring out what I need to put in the model for the I/O interface and how to type cast all the I/O variables. I would really like some kind of an example for doing simple external file I/O just to get me started but i haven’t been able to find anything in my searches yet. Any hints or suggestions would be appreciated – thank you! matlab, simulink, encoder, file i/o, external data MATLAB Answers — New Questions

Matlab News

Merging individual waves into a single wave as a synthetic ECG

PuTI / 2025-03-13

Hello everyone 🙂
I created individual ECG waves (P wave, QRS complex, and T wave, which is identical to the P wave) using symbolic variables and the Fourier series. However, I am struggling to merge these waves into a single waveform—it jumps around unpredictably, and I generally don’t know how to proceed. 🙁

my code is here:
close all;clear all; clc;
%P wave (T wave)
T = 1
f = 1/T
omega = 2*pi*f
syms t k
c=0
a_0 = (1/pi) * int((-t^2), t, c, c + 1);
a_n = (1/pi)*int(-t^2 * cos(k*t),t,c,c+1);
b_n = 0;
FS_P = a_0/2 + symsum(a_n*cos(k*t)+b_n*sin(k*t),k,1,1)
FS_P = 4*FS_P
four = subs(FS_P)
%number of repetitions
N = 1
ezplot(four,0:6.3*N)
grid on
%QRS complex – first part
syms t k x
c=0
a_0 = 0
a_n = 0
b_n = 1/pi * int(t*sin(k*t),x,c,c+2*pi)
FS_QRS = a_0/2 + symsum(a_n*cos(k*t)+b_n*sin(k*t),k,1,1000)
FS_QRS = 2*FS_QRS
four = subs(FS_QRS)
N=4
ezplot(four)
%QRS complex – second part
syms t k x
c=0
a_0 = 0
a_n = 0
b_n = 1/pi * int(-t*sin(k*t),x,c,c+2*pi)
FS_QRs = a_0/2 + symsum(a_n*cos(k*t)+b_n*sin(k*t),k,1,1000)
FS_QRs = -2*FS_QRs
four = subs(FS_QRs)
ezplot(four)

I try to simply add these signals but it doesnt work :(Hello everyone 🙂
I created individual ECG waves (P wave, QRS complex, and T wave, which is identical to the P wave) using symbolic variables and the Fourier series. However, I am struggling to merge these waves into a single waveform—it jumps around unpredictably, and I generally don’t know how to proceed. 🙁

I try to simply add these signals but it doesnt work 🙁 Hello everyone 🙂
I created individual ECG waves (P wave, QRS complex, and T wave, which is identical to the P wave) using symbolic variables and the Fourier series. However, I am struggling to merge these waves into a single waveform—it jumps around unpredictably, and I generally don’t know how to proceed. 🙁

I try to simply add these signals but it doesnt work 🙁 signal processing, symbolic MATLAB Answers — New Questions

News Other

Stopping Sobolan Malware with Aqua Runtime Protection

PuTI / 2025-03-12

Aqua Nautilus researchers have discovered a new attack campaign targeting interactive computing environments such as Jupyter Notebooks. The attack consists of multiple stages, beginning with the download of a compressed file from a remote server. Once executed, the attacker deploys several malicious tools to exploit the server and establish persistence. This campaign poses a significant risk to cloud-native environments, as it enables unauthorized access and long-term control over compromised systems.

Aqua Nautilus researchers have discovered a new attack campaign targeting interactive computing environments such as Jupyter Notebooks. The attack consists of multiple stages, beginning with the download of a compressed file from a remote server. Once executed, the attacker deploys several malicious tools to exploit the server and establish persistence. This campaign poses a significant risk to cloud-native environments, as it enables unauthorized access and long-term control over compromised systems.Read More

Matlab News

How to create a fixed user who receives GNSS signals within a map made from 3D plot?

PuTI / 2025-03-12

https://kr.mathworks.com/help/nav/ug/simulate-gnss-multipath-effects-on-uav-flying-in-urban-environment.html
I would like to refer to the example of matlab above to create a user who is statically fixed in the middle of the map, not a user who moves along the trajectory.
So I modified it a little bit and wrote the code, and when I run it, the figure comes out well, but there’s an unknown error, so I need some help.
Error using fusion.internal.GPSSensorBase/validateInputsImpl (line 302)
Expected input to be an array with number of columns equal to 3.

Error in deepseek_v01 (line 31)
[lla, velocity] = gps(position, zeros(1,3));
^^^^^^^^^^^^^^^^^^^^^^^^^
I’m getting this error, and I’m curious about the solution. I’m also curious if there’s any problem even if I ignore the error and use it.
The .osm file I use is not attached, so you can use the .osm file that Matlab supports by default.

referenceLocation = [37.498759 127.027487 0];
scene = uavScenario(‘ReferenceLocation’, referenceLocation, ‘UpdateRate’, 10, ‘StopTime’, Inf);

buildingColor = [0.8 0.8 0.8];
if isfile(‘gangnam_11exit.osm’)
addMesh(scene, ‘buildings’, {‘gangnam_11exit.osm’, [-250 250], [-250 250], ‘auto’}, buildingColor);
else
addMesh(scene, ‘buildings’, {‘random’, [-150 150], [-150 150], [10 50]}, buildingColor);
end

user = uavPlatform(‘User’, scene, ‘ReferenceFrame’, ‘ENU’, ‘InitialPosition’, [0 0 80]);

gps = gpsSensor(‘UpdateRate’, 10, …
‘ReferenceLocation’, referenceLocation, …
‘HorizontalPositionAccuracy’, 1.6, …
‘VerticalPositionAccuracy’, 3.0, …
‘VelocityAccuracy’, 0.1);

fig = figure(‘Name’,’Static GNSS User’);
ax = show3D(scene);
hold(ax, ‘on’);
axis(ax, ‘equal’);
grid(ax, ‘on’);
view(ax, 3);
plot3(ax, 0, 0, 80, ‘ro’, ‘MarkerSize’, 12, ‘MarkerFaceColor’, ‘r’);

setup(scene);
while ishandle(fig)
[position, orientation] = user.read();

[lla, velocity] = gps(position, zeros(1,3));

fprintf(‘[ENU Position] X: %.2fm, Y: %.2fm, Z: %.2fmn’, position(1), position(2), position(3));
fprintf(‘[GPS Coordinates] Lat: %.6f°, Lon: %.6f°, Alt: %.2fmnn’, lla(1), lla(2), lla(3));

show3D(scene, ‘Parent’, ax, ‘FastUpdate’, true);
drawnow limitrate;

advance(scene);
endhttps://kr.mathworks.com/help/nav/ug/simulate-gnss-multipath-effects-on-uav-flying-in-urban-environment.html
I would like to refer to the example of matlab above to create a user who is statically fixed in the middle of the map, not a user who moves along the trajectory.
So I modified it a little bit and wrote the code, and when I run it, the figure comes out well, but there’s an unknown error, so I need some help.
Error using fusion.internal.GPSSensorBase/validateInputsImpl (line 302)
Expected input to be an array with number of columns equal to 3.

referenceLocation = [37.498759 127.027487 0];
scene = uavScenario(‘ReferenceLocation’, referenceLocation, ‘UpdateRate’, 10, ‘StopTime’, Inf);

user = uavPlatform(‘User’, scene, ‘ReferenceFrame’, ‘ENU’, ‘InitialPosition’, [0 0 80]);

setup(scene);
while ishandle(fig)
[position, orientation] = user.read();

[lla, velocity] = gps(position, zeros(1,3));

fprintf(‘[ENU Position] X: %.2fm, Y: %.2fm, Z: %.2fmn’, position(1), position(2), position(3));
fprintf(‘[GPS Coordinates] Lat: %.6f°, Lon: %.6f°, Alt: %.2fmnn’, lla(1), lla(2), lla(3));

show3D(scene, ‘Parent’, ax, ‘FastUpdate’, true);
drawnow limitrate;

advance(scene);
end https://kr.mathworks.com/help/nav/ug/simulate-gnss-multipath-effects-on-uav-flying-in-urban-environment.html
I would like to refer to the example of matlab above to create a user who is statically fixed in the middle of the map, not a user who moves along the trajectory.
So I modified it a little bit and wrote the code, and when I run it, the figure comes out well, but there’s an unknown error, so I need some help.
Error using fusion.internal.GPSSensorBase/validateInputsImpl (line 302)
Expected input to be an array with number of columns equal to 3.

referenceLocation = [37.498759 127.027487 0];
scene = uavScenario(‘ReferenceLocation’, referenceLocation, ‘UpdateRate’, 10, ‘StopTime’, Inf);

user = uavPlatform(‘User’, scene, ‘ReferenceFrame’, ‘ENU’, ‘InitialPosition’, [0 0 80]);

setup(scene);
while ishandle(fig)
[position, orientation] = user.read();

[lla, velocity] = gps(position, zeros(1,3));

fprintf(‘[ENU Position] X: %.2fm, Y: %.2fm, Z: %.2fmn’, position(1), position(2), position(3));
fprintf(‘[GPS Coordinates] Lat: %.6f°, Lon: %.6f°, Alt: %.2fmnn’, lla(1), lla(2), lla(3));

show3D(scene, ‘Parent’, ax, ‘FastUpdate’, true);
drawnow limitrate;

advance(scene);
end matlab, gnss, gps, optimization, error MATLAB Answers — New Questions

Matlab News

MPU6050 Arduino Uno Simulink

PuTI / 2025-03-12

I have a code to get the MPU6050 working using Matlab, but now I would like to run it on Simulink, but I keep hitting dead ends. Here is my Matlab code if anyone out there can help me:

%% setup
a=arduino;
mpu=i2cdev(a,’0x68′);
writeRegister(mpu, hex2dec(‘B6′), hex2dec(’00’), ‘int16’); %reset
data=zeros(10000,14,’int8′); %prelocating
j=1;
%% loop
while(true)
x=1;
for i=59:72 % 14 Data Registers for Accel,Temp,Gyro
data(j,x)= readRegister(mpu, i, ‘int8’);
x=x+1;
end
y=swapbytes(typecast(data(j,:), ‘int16’));
acc_x(j)=double(y(1));
acc_y(j)=double(y(2));
acc_z(j)=double(y(3));
j=j+1;
end

How can I write this in SIMULINK?
The loop is the easy part, I can just put it into a Matlab function block (except for readRegister)… I just can’t figure out the setup part in Simulink at all. I have tryed using the I2C Read block, but to no avail. Please help. And before you ask, I do have both the Arduino packages installed (for Matlab, and Simulink).

Again Please HELP!!!I have a code to get the MPU6050 working using Matlab, but now I would like to run it on Simulink, but I keep hitting dead ends. Here is my Matlab code if anyone out there can help me:

Again Please HELP!!! I have a code to get the MPU6050 working using Matlab, but now I would like to run it on Simulink, but I keep hitting dead ends. Here is my Matlab code if anyone out there can help me:

Again Please HELP!!! mpu, mpu6050, accelerometer, arduino, uno, arduino uno, simulink, matlab, gyroscope, readregister, writeregister, i2c, i2cdev MATLAB Answers — New Questions

Matlab News

Is it really a license violation to effectively make MATLAB free idle licenses in less then 4 hours?

PuTI / 2025-03-12

This question originates from a reply in the following: thread.
I once wrote a python script that would try to get a floating license every 10 secs. From that idea now I thought maybe I can do similar one that would identify if MATLAB is idle more than 5 minutes or so, and then it would terminate the MATLAB.
Would this be a license violation, or is it just strictly altering the Network License Manager to timeout in less than 4 hours?This question originates from a reply in the following: thread.
I once wrote a python script that would try to get a floating license every 10 secs. From that idea now I thought maybe I can do similar one that would identify if MATLAB is idle more than 5 minutes or so, and then it would terminate the MATLAB.
Would this be a license violation, or is it just strictly altering the Network License Manager to timeout in less than 4 hours? This question originates from a reply in the following: thread.
I once wrote a python script that would try to get a floating license every 10 secs. From that idea now I thought maybe I can do similar one that would identify if MATLAB is idle more than 5 minutes or so, and then it would terminate the MATLAB.
Would this be a license violation, or is it just strictly altering the Network License Manager to timeout in less than 4 hours? network license manager, license MATLAB Answers — New Questions

Matlab News

Plot not showing all results

PuTI / 2025-03-12

I need my graph to show the results from all lengths (i.e. all 5 coloured lines) but am only outputting 2 lines for one of the graphs. Both my code and the graphs are below. Please help.
clc; clear; close all;

%% Section 1: Development of Applied Thermal and Solute Concentration Fields
L_values = linspace(0.03, 0.25, 5); % Separation distance [m] (5 samples for clarity)
Nx = 200; % Number of spatial steps
Nt = 5000; % Number of time steps
dt = 0.005; % Time step size

% Thermal diffusivity values for aluminum alloy (m^2/s)
alpha_L = 3.26e-5; % Liquid phase
alpha_S = 6.58e-5; % Solid phase

% Solute diffusivity in liquid (m^2/s)
D_L = 1e-11;

% Interface velocity range
V = linspace(1.67e-5, 1.67e-4, 20); % Velocity range in m/s

% Partition coefficient & solute parameters
k = 0.85; % Partition coefficient
c0 = 7.26; % Initial solute concentration (wt% Al)
m = -3; % Liquidus slope (K/wt% Al)

[G_range, V_mesh] = meshgrid(linspace(1e4, 1e6, 20), V);
delta_c = sqrt(D_L ./ V_mesh); % Solute boundary layer thickness
G_critical = -2 * m * c0 ./ delta_c; % Constitutional gradient

%% Section 2: Initialize Figures
figure(1); hold on; % Temperature distribution plot
figure(2); hold on; % Solute concentration plot

%% Section 3: Loop Over Different L Values
for L = L_values
dx = L / Nx; % Spatial step size
x = linspace(0, L, Nx); % Position array
s = 0.02; % Initial interface position

% Initialize temperature profile
T = zeros(Nx, 1);
T(1:Nx/2) = linspace(1450, 1350, Nx/2); % Melt zone
T(Nx/2+1:end) = linspace(1150, 900, Nx/2); % Cold zone

%% Section 4: Applied Thermal Gradient (Finite Difference)
for t = 1:Nt
T_new = T;
for i = 2:Nx-1
if x(i) < s
T_new(i) = T(i) + alpha_S * dt / dx^2 * (T(i+1) – 2*T(i) + T(i-1));
else
T_new(i) = T(i) + alpha_L * dt / dx^2 * (T(i+1) – 2*T(i) + T(i-1));
end
end
T = T_new;
s = s + V(1) * dt; % Update interface position
end

%% Section 5: Plot Results for Each L
figure(1); % ensuring we’re plotting on the right figure
plot(x, T, ‘LineWidth’, 2, ‘DisplayName’, sprintf(‘L = %.2f m’, L));

figure(2);
plot(x, linspace(c0, c0 * k, Nx), ‘LineWidth’, 2, ‘DisplayName’, sprintf(‘L = %.2f m’, L));
end

%% Section 6: Finalize Temperature Plot
figure(1);
xlabel(‘Position (m)’); ylabel(‘Temperature (C)’);
title(‘Temperature Distribution for Different L Values’);
grid on; legend show; hold off;

%% Section 7: Finalize Solute Concentration Plot
figure(2);
xlabel(‘Position (m)’); ylabel(‘Solute Concentration (wt%)’);
title(‘Solute Concentration Distribution for Different L Values’);
grid on; legend show; hold off;I need my graph to show the results from all lengths (i.e. all 5 coloured lines) but am only outputting 2 lines for one of the graphs. Both my code and the graphs are below. Please help.
clc; clear; close all;