Tag Archives: matlab
Is there a way to identify group names in an H5 file programmatically without using h5info?
I am working with large (0.5-2 GB) and complex h5 data files and trying to identify the high level group names in the files. The names of the groups change for each file, so I need to be able to programmatically identify them. Below the high level of groups, the file structure is consistent, so I can efficiently use h5read once I have these 5-10 group names. Using hdf5info works, but is very slow because it is scanning the entire file and giving me much more metadata than I really care about (each high level group has thousands of nested lower level groups/datasets/attributes). The MATLAB recommended h5info is much slower for some reason. In fact, I have never actually let it run to completion, usually giving up after half an hour.
I have also tried setting the "ReadAttributes" bool to FALSE which for some reason made hdf5info take even longer to run. Is there a more efficient way to identify only the top level of group names in the h5 file?
Thanks,I am working with large (0.5-2 GB) and complex h5 data files and trying to identify the high level group names in the files. The names of the groups change for each file, so I need to be able to programmatically identify them. Below the high level of groups, the file structure is consistent, so I can efficiently use h5read once I have these 5-10 group names. Using hdf5info works, but is very slow because it is scanning the entire file and giving me much more metadata than I really care about (each high level group has thousands of nested lower level groups/datasets/attributes). The MATLAB recommended h5info is much slower for some reason. In fact, I have never actually let it run to completion, usually giving up after half an hour.
I have also tried setting the "ReadAttributes" bool to FALSE which for some reason made hdf5info take even longer to run. Is there a more efficient way to identify only the top level of group names in the h5 file?
Thanks, I am working with large (0.5-2 GB) and complex h5 data files and trying to identify the high level group names in the files. The names of the groups change for each file, so I need to be able to programmatically identify them. Below the high level of groups, the file structure is consistent, so I can efficiently use h5read once I have these 5-10 group names. Using hdf5info works, but is very slow because it is scanning the entire file and giving me much more metadata than I really care about (each high level group has thousands of nested lower level groups/datasets/attributes). The MATLAB recommended h5info is much slower for some reason. In fact, I have never actually let it run to completion, usually giving up after half an hour.
I have also tried setting the "ReadAttributes" bool to FALSE which for some reason made hdf5info take even longer to run. Is there a more efficient way to identify only the top level of group names in the h5 file?
Thanks, hdf5, h5, hdf5info, h5info, data, data import MATLAB Answers — New Questions
Extract the indices based on the minimum absolute value
Hi all,
I have two matrices: and . Each row of matrix has an identifier (index). I want to get the identifiers of each row of matrix based on how much the values in each row are close to each row of matrix . For example, if the values in the first row of matrix is the closest to those in the last row of matrix , assign the identifier of the last row of matrix to the first row of matrix , and so on so forth.
My code below tries to do this by calculating the absolute value between each row of and all the rows of and chooses the one that returns the minimum absolute value to assign its identifier. However, I think there is something wrong with this as the resulting identifers of matrix are computed the same as of .
close
clear all
%define the number of random numbers
n = 10;
%define the min and max ranges of random values
stvar = [0 4]; %on the 1st dim
ndvar = [-1 1]; %on the 2nd dim
%construct the first random matrix
A(:,1) = stvar(1)+(stvar(end)-stvar(1)).*rand(n,1); %first column
A(:,2) = ndvar(1)+(ndvar(end)-ndvar(1)).*rand(n,1); %second column
A = [A(:,1) A(:,2)]; %collect both columns into one matrix
%propose the identifiers of matrix A
iden_A = randi([1,n/2],n,1);
%construct the second random matrix
B(:,1) = stvar(1)+(stvar(end)-stvar(1)).*rand(n,1); %first column
B(:,2) = ndvar(1)+(ndvar(end)-ndvar(1)).*rand(n,1); %second column
B = [B(:,1) B(:,2)]; %collect both columns into one matrix
%finding the identifiers of matrix B
iden_B = [];
%go through all receiving pairs of space and direction
for i = 1:size(B,1)
%define the B pair
B_pair = [B(i,1) B(i,2)];
for j = 1:size(A,1)
abs_value(j,:) = [abs(A(j,1)-B_pair(1)) abs(A(j,2)-B_pair(2))];
end
[~,minloc] = find(min(abs_value(:,1)) & min(abs_value(:,2)));
minloc = iden_A(i);
iden_B = [iden_B ; minloc];
end
Any help would be appreicted.
ThanksHi all,
I have two matrices: and . Each row of matrix has an identifier (index). I want to get the identifiers of each row of matrix based on how much the values in each row are close to each row of matrix . For example, if the values in the first row of matrix is the closest to those in the last row of matrix , assign the identifier of the last row of matrix to the first row of matrix , and so on so forth.
My code below tries to do this by calculating the absolute value between each row of and all the rows of and chooses the one that returns the minimum absolute value to assign its identifier. However, I think there is something wrong with this as the resulting identifers of matrix are computed the same as of .
close
clear all
%define the number of random numbers
n = 10;
%define the min and max ranges of random values
stvar = [0 4]; %on the 1st dim
ndvar = [-1 1]; %on the 2nd dim
%construct the first random matrix
A(:,1) = stvar(1)+(stvar(end)-stvar(1)).*rand(n,1); %first column
A(:,2) = ndvar(1)+(ndvar(end)-ndvar(1)).*rand(n,1); %second column
A = [A(:,1) A(:,2)]; %collect both columns into one matrix
%propose the identifiers of matrix A
iden_A = randi([1,n/2],n,1);
%construct the second random matrix
B(:,1) = stvar(1)+(stvar(end)-stvar(1)).*rand(n,1); %first column
B(:,2) = ndvar(1)+(ndvar(end)-ndvar(1)).*rand(n,1); %second column
B = [B(:,1) B(:,2)]; %collect both columns into one matrix
%finding the identifiers of matrix B
iden_B = [];
%go through all receiving pairs of space and direction
for i = 1:size(B,1)
%define the B pair
B_pair = [B(i,1) B(i,2)];
for j = 1:size(A,1)
abs_value(j,:) = [abs(A(j,1)-B_pair(1)) abs(A(j,2)-B_pair(2))];
end
[~,minloc] = find(min(abs_value(:,1)) & min(abs_value(:,2)));
minloc = iden_A(i);
iden_B = [iden_B ; minloc];
end
Any help would be appreicted.
Thanks Hi all,
I have two matrices: and . Each row of matrix has an identifier (index). I want to get the identifiers of each row of matrix based on how much the values in each row are close to each row of matrix . For example, if the values in the first row of matrix is the closest to those in the last row of matrix , assign the identifier of the last row of matrix to the first row of matrix , and so on so forth.
My code below tries to do this by calculating the absolute value between each row of and all the rows of and chooses the one that returns the minimum absolute value to assign its identifier. However, I think there is something wrong with this as the resulting identifers of matrix are computed the same as of .
close
clear all
%define the number of random numbers
n = 10;
%define the min and max ranges of random values
stvar = [0 4]; %on the 1st dim
ndvar = [-1 1]; %on the 2nd dim
%construct the first random matrix
A(:,1) = stvar(1)+(stvar(end)-stvar(1)).*rand(n,1); %first column
A(:,2) = ndvar(1)+(ndvar(end)-ndvar(1)).*rand(n,1); %second column
A = [A(:,1) A(:,2)]; %collect both columns into one matrix
%propose the identifiers of matrix A
iden_A = randi([1,n/2],n,1);
%construct the second random matrix
B(:,1) = stvar(1)+(stvar(end)-stvar(1)).*rand(n,1); %first column
B(:,2) = ndvar(1)+(ndvar(end)-ndvar(1)).*rand(n,1); %second column
B = [B(:,1) B(:,2)]; %collect both columns into one matrix
%finding the identifiers of matrix B
iden_B = [];
%go through all receiving pairs of space and direction
for i = 1:size(B,1)
%define the B pair
B_pair = [B(i,1) B(i,2)];
for j = 1:size(A,1)
abs_value(j,:) = [abs(A(j,1)-B_pair(1)) abs(A(j,2)-B_pair(2))];
end
[~,minloc] = find(min(abs_value(:,1)) & min(abs_value(:,2)));
minloc = iden_A(i);
iden_B = [iden_B ; minloc];
end
Any help would be appreicted.
Thanks matlab, indices, matrices, minimum, optimisation MATLAB Answers — New Questions
Simulink’s Simulation Passing not running at appropriate time step?
Hey ya,
Any help is greatly apreciated. We are atempting to run a realtime simulink simulation where a participant will be interacting with a simulink simulation. However, after doing a few trial runs we noticed that for every 1 second of real time simulink would only progress by about 0.8 seconds. Out Test is supposed to take only 70 seconds but according to a realworld clock the simulation takes ~85 seconds to complete. another weird thing is that the time delay is consistant and inspute of increasing the simulation speed the Issue persists and can even become worse (dtoping down to 0.7 sim seconds per 1 real world second). Any help is greatly apreciated.Hey ya,
Any help is greatly apreciated. We are atempting to run a realtime simulink simulation where a participant will be interacting with a simulink simulation. However, after doing a few trial runs we noticed that for every 1 second of real time simulink would only progress by about 0.8 seconds. Out Test is supposed to take only 70 seconds but according to a realworld clock the simulation takes ~85 seconds to complete. another weird thing is that the time delay is consistant and inspute of increasing the simulation speed the Issue persists and can even become worse (dtoping down to 0.7 sim seconds per 1 real world second). Any help is greatly apreciated. Hey ya,
Any help is greatly apreciated. We are atempting to run a realtime simulink simulation where a participant will be interacting with a simulink simulation. However, after doing a few trial runs we noticed that for every 1 second of real time simulink would only progress by about 0.8 seconds. Out Test is supposed to take only 70 seconds but according to a realworld clock the simulation takes ~85 seconds to complete. another weird thing is that the time delay is consistant and inspute of increasing the simulation speed the Issue persists and can even become worse (dtoping down to 0.7 sim seconds per 1 real world second). Any help is greatly apreciated. simulink, simulation, time series, real time, matlab, vr sink MATLAB Answers — New Questions
Can pattern search consider the poll successful if it finds a point with the same objective function as the current one?
I have an optimization problem that is multidimensional and rather complex. My nonlinear constraints aren’t continuous and the objective function is continuous and differentiable. However, I’m first trying to just find a feasible solution and I’m using patternsearch to do this:
opts = optimoptions(‘patternsearch’,’Algorithm’,’classic’ , ‘Display’, ‘iter’, ‘UseParallel’, true, ‘UseCompletePoll’,true,’PollMethod’,’MADSPositiveBasis2N’);
x0 = patternsearch(@(x)J_constraints(x, lowerLimit, upperLimit, z_des, angleBounds) , x0, [],[],[],[],lb,ub,[],opts);
The thing is that my J_constraints function (representing the nonlinear constraints from earlier) needs to be negative and has significant regions in which it is constant. Therefore often when I run patternsearch it stays at the same point since all of the mesh points have actually the same value as the current point:
Iter Func-count f(x) MeshSize Method
95 4034 2270 6.985e-10 Refine Mesh
96 4034 2270 3.492e-10 Refine Mesh
97 4034 2270 1.746e-10 Refine Mesh
98 4034 2270 8.731e-11 Refine Mesh
99 4034 2270 4.366e-11 Refine Mesh
100 4034 2270 2.183e-11 Refine Mesh
101 4034 2270 1.091e-11 Refine Mesh
102 4034 2270 5.457e-12 Refine Mesh
103 4034 2270 2.728e-12 Refine Mesh
104 4034 2270 1.364e-12 Refine Mesh
105 4034 2270 6.821e-13 Refine Mesh
What I would like it to do is to change the point even if the objective function is the same in the best point from the mesh and of course effectively increase the mesh size (consider the poll successful even though the objective function stays the same). Is there a way to do this? I don’t care that much about other parameters (whether I use the "classic" version or the "nups" one, whether it’s MADS, GPS or GSS etc.)
Essentially, I would like to change the PollMethod. Is there any way to do this?
I’ve also tried using the SearchFcn option, but wasn’t quite successful because I the mesh points are not available within the function.
Thank you in advance for any help!I have an optimization problem that is multidimensional and rather complex. My nonlinear constraints aren’t continuous and the objective function is continuous and differentiable. However, I’m first trying to just find a feasible solution and I’m using patternsearch to do this:
opts = optimoptions(‘patternsearch’,’Algorithm’,’classic’ , ‘Display’, ‘iter’, ‘UseParallel’, true, ‘UseCompletePoll’,true,’PollMethod’,’MADSPositiveBasis2N’);
x0 = patternsearch(@(x)J_constraints(x, lowerLimit, upperLimit, z_des, angleBounds) , x0, [],[],[],[],lb,ub,[],opts);
The thing is that my J_constraints function (representing the nonlinear constraints from earlier) needs to be negative and has significant regions in which it is constant. Therefore often when I run patternsearch it stays at the same point since all of the mesh points have actually the same value as the current point:
Iter Func-count f(x) MeshSize Method
95 4034 2270 6.985e-10 Refine Mesh
96 4034 2270 3.492e-10 Refine Mesh
97 4034 2270 1.746e-10 Refine Mesh
98 4034 2270 8.731e-11 Refine Mesh
99 4034 2270 4.366e-11 Refine Mesh
100 4034 2270 2.183e-11 Refine Mesh
101 4034 2270 1.091e-11 Refine Mesh
102 4034 2270 5.457e-12 Refine Mesh
103 4034 2270 2.728e-12 Refine Mesh
104 4034 2270 1.364e-12 Refine Mesh
105 4034 2270 6.821e-13 Refine Mesh
What I would like it to do is to change the point even if the objective function is the same in the best point from the mesh and of course effectively increase the mesh size (consider the poll successful even though the objective function stays the same). Is there a way to do this? I don’t care that much about other parameters (whether I use the "classic" version or the "nups" one, whether it’s MADS, GPS or GSS etc.)
Essentially, I would like to change the PollMethod. Is there any way to do this?
I’ve also tried using the SearchFcn option, but wasn’t quite successful because I the mesh points are not available within the function.
Thank you in advance for any help! I have an optimization problem that is multidimensional and rather complex. My nonlinear constraints aren’t continuous and the objective function is continuous and differentiable. However, I’m first trying to just find a feasible solution and I’m using patternsearch to do this:
opts = optimoptions(‘patternsearch’,’Algorithm’,’classic’ , ‘Display’, ‘iter’, ‘UseParallel’, true, ‘UseCompletePoll’,true,’PollMethod’,’MADSPositiveBasis2N’);
x0 = patternsearch(@(x)J_constraints(x, lowerLimit, upperLimit, z_des, angleBounds) , x0, [],[],[],[],lb,ub,[],opts);
The thing is that my J_constraints function (representing the nonlinear constraints from earlier) needs to be negative and has significant regions in which it is constant. Therefore often when I run patternsearch it stays at the same point since all of the mesh points have actually the same value as the current point:
Iter Func-count f(x) MeshSize Method
95 4034 2270 6.985e-10 Refine Mesh
96 4034 2270 3.492e-10 Refine Mesh
97 4034 2270 1.746e-10 Refine Mesh
98 4034 2270 8.731e-11 Refine Mesh
99 4034 2270 4.366e-11 Refine Mesh
100 4034 2270 2.183e-11 Refine Mesh
101 4034 2270 1.091e-11 Refine Mesh
102 4034 2270 5.457e-12 Refine Mesh
103 4034 2270 2.728e-12 Refine Mesh
104 4034 2270 1.364e-12 Refine Mesh
105 4034 2270 6.821e-13 Refine Mesh
What I would like it to do is to change the point even if the objective function is the same in the best point from the mesh and of course effectively increase the mesh size (consider the poll successful even though the objective function stays the same). Is there a way to do this? I don’t care that much about other parameters (whether I use the "classic" version or the "nups" one, whether it’s MADS, GPS or GSS etc.)
Essentially, I would like to change the PollMethod. Is there any way to do this?
I’ve also tried using the SearchFcn option, but wasn’t quite successful because I the mesh points are not available within the function.
Thank you in advance for any help! optimization, pattern search, poll method, feasibility search MATLAB Answers — New Questions
Why do I receive “Conflicting release versions found in matlabroot and the documentation ISO image”?
Why do I receive "Conflicting release versions found in matlabroot and the documentation ISO image"?Why do I receive "Conflicting release versions found in matlabroot and the documentation ISO image"? Why do I receive "Conflicting release versions found in matlabroot and the documentation ISO image"? MATLAB Answers — New Questions
Can you specify a GROUP within a GROUP in the Network License Manager’s options file?
Can you specify a GROUP within a GROUP in the Network License Manager’s options file?Can you specify a GROUP within a GROUP in the Network License Manager’s options file? Can you specify a GROUP within a GROUP in the Network License Manager’s options file? MATLAB Answers — New Questions
How to fix a limit between 2 combined colormaps?
My problems is that I’m trying to use two combined colorbars to get more color range in depicting my values. But if I define clim ([100 350]) w the average gets used as the splitting point between the 2 colormaps (meaning here 225). Now, I know that I can fix the colorbar manually by shifting it in the figures and saving it then, but this is very impractical since I’m trying to create many figures. Is there any good line of code, that could help me fix the limit directly?
My code:
clim([100 350])
colormap([flipud(m_colmap(‘blues’)); colormap(slanCM(6))])
I would like to use the "blues’" colormap for values between 100 and 200, the other one for values between 200 and 350.
Any help would be greatly appreciated.My problems is that I’m trying to use two combined colorbars to get more color range in depicting my values. But if I define clim ([100 350]) w the average gets used as the splitting point between the 2 colormaps (meaning here 225). Now, I know that I can fix the colorbar manually by shifting it in the figures and saving it then, but this is very impractical since I’m trying to create many figures. Is there any good line of code, that could help me fix the limit directly?
My code:
clim([100 350])
colormap([flipud(m_colmap(‘blues’)); colormap(slanCM(6))])
I would like to use the "blues’" colormap for values between 100 and 200, the other one for values between 200 and 350.
Any help would be greatly appreciated. My problems is that I’m trying to use two combined colorbars to get more color range in depicting my values. But if I define clim ([100 350]) w the average gets used as the splitting point between the 2 colormaps (meaning here 225). Now, I know that I can fix the colorbar manually by shifting it in the figures and saving it then, but this is very impractical since I’m trying to create many figures. Is there any good line of code, that could help me fix the limit directly?
My code:
clim([100 350])
colormap([flipud(m_colmap(‘blues’)); colormap(slanCM(6))])
I would like to use the "blues’" colormap for values between 100 and 200, the other one for values between 200 and 350.
Any help would be greatly appreciated. colormap, clim, flipud MATLAB Answers — New Questions
Why are detections for Swerling 1 fusionRadarSensor not generated according the provided detection probability?
I am using the fusionRadarSensor to generate detections. The sensor is setup to detect a 0 dBm^2 RCS at a 100000 m range with 0.9 detection probability (i.e the default of the fusionRadarSensor). If I generate detections for such a target with such an RCS with Monte Carlo simulation, I get the correct detection probability for Swerling 0 (the default). But when I change to Swerling 1, the detection probability is incorrect, see example code below :
rdr = fusionRadarSensor(1,’ScanMode’,’No scanning’,’HasElevation’,true,’RangeLimits’,[0 1E6]);
% Default are the fields below :
% DetectionProbability: 0.9000
% ReferenceRange: 100000
% ReferenceRCS: 0
% So target with 0 dBm^2 at 100000 m is detected with probability 0.9
% Create target with 0 dBm^2 at 100000 m
rcs_dbm2 = 0; % Target RCS [dBm^2]
rdr.Profiles.Signatures{1} = rcsSignature("Pattern",rcs_dbm2*ones(2,2),’FluctuationModel’,’Swerling0′);
tgtRg = 1e5; % target range, [m]
% Create struct with target position
[X,Y,Z] = sph2cart(deg2rad(0),deg2rad(0),tgtRg);
tgt = struct(PlatformID=1,Position=[X Y Z]);
% Create detections with Monte-Carlo
simTime = 0; % [s]
Nmc = 1000; % Number of runs
pd = 0;
for i = 1:Nmc
dets = rdr(tgt,simTime);
if ~isempty(dets)
pd = pd+1;
end
end
% Estimate the pd, should be close to 0.9
pd = pd/Nmc
pd =
0.9180
So roughly correct answer
But if I change the Swerling case to 1 (rdr.Profiles.Signatures{1} = rcsSignature("Pattern",rcs_dbm2*ones(2,2),’FluctuationModel’,’Swerling1′); and do the same it does not give me the expected pd = 0.9 :
pd =
0.5250
What is wrong in my code?
Regards JanI am using the fusionRadarSensor to generate detections. The sensor is setup to detect a 0 dBm^2 RCS at a 100000 m range with 0.9 detection probability (i.e the default of the fusionRadarSensor). If I generate detections for such a target with such an RCS with Monte Carlo simulation, I get the correct detection probability for Swerling 0 (the default). But when I change to Swerling 1, the detection probability is incorrect, see example code below :
rdr = fusionRadarSensor(1,’ScanMode’,’No scanning’,’HasElevation’,true,’RangeLimits’,[0 1E6]);
% Default are the fields below :
% DetectionProbability: 0.9000
% ReferenceRange: 100000
% ReferenceRCS: 0
% So target with 0 dBm^2 at 100000 m is detected with probability 0.9
% Create target with 0 dBm^2 at 100000 m
rcs_dbm2 = 0; % Target RCS [dBm^2]
rdr.Profiles.Signatures{1} = rcsSignature("Pattern",rcs_dbm2*ones(2,2),’FluctuationModel’,’Swerling0′);
tgtRg = 1e5; % target range, [m]
% Create struct with target position
[X,Y,Z] = sph2cart(deg2rad(0),deg2rad(0),tgtRg);
tgt = struct(PlatformID=1,Position=[X Y Z]);
% Create detections with Monte-Carlo
simTime = 0; % [s]
Nmc = 1000; % Number of runs
pd = 0;
for i = 1:Nmc
dets = rdr(tgt,simTime);
if ~isempty(dets)
pd = pd+1;
end
end
% Estimate the pd, should be close to 0.9
pd = pd/Nmc
pd =
0.9180
So roughly correct answer
But if I change the Swerling case to 1 (rdr.Profiles.Signatures{1} = rcsSignature("Pattern",rcs_dbm2*ones(2,2),’FluctuationModel’,’Swerling1′); and do the same it does not give me the expected pd = 0.9 :
pd =
0.5250
What is wrong in my code?
Regards Jan I am using the fusionRadarSensor to generate detections. The sensor is setup to detect a 0 dBm^2 RCS at a 100000 m range with 0.9 detection probability (i.e the default of the fusionRadarSensor). If I generate detections for such a target with such an RCS with Monte Carlo simulation, I get the correct detection probability for Swerling 0 (the default). But when I change to Swerling 1, the detection probability is incorrect, see example code below :
rdr = fusionRadarSensor(1,’ScanMode’,’No scanning’,’HasElevation’,true,’RangeLimits’,[0 1E6]);
% Default are the fields below :
% DetectionProbability: 0.9000
% ReferenceRange: 100000
% ReferenceRCS: 0
% So target with 0 dBm^2 at 100000 m is detected with probability 0.9
% Create target with 0 dBm^2 at 100000 m
rcs_dbm2 = 0; % Target RCS [dBm^2]
rdr.Profiles.Signatures{1} = rcsSignature("Pattern",rcs_dbm2*ones(2,2),’FluctuationModel’,’Swerling0′);
tgtRg = 1e5; % target range, [m]
% Create struct with target position
[X,Y,Z] = sph2cart(deg2rad(0),deg2rad(0),tgtRg);
tgt = struct(PlatformID=1,Position=[X Y Z]);
% Create detections with Monte-Carlo
simTime = 0; % [s]
Nmc = 1000; % Number of runs
pd = 0;
for i = 1:Nmc
dets = rdr(tgt,simTime);
if ~isempty(dets)
pd = pd+1;
end
end
% Estimate the pd, should be close to 0.9
pd = pd/Nmc
pd =
0.9180
So roughly correct answer
But if I change the Swerling case to 1 (rdr.Profiles.Signatures{1} = rcsSignature("Pattern",rcs_dbm2*ones(2,2),’FluctuationModel’,’Swerling1′); and do the same it does not give me the expected pd = 0.9 :
pd =
0.5250
What is wrong in my code?
Regards Jan fusionradarsensor, swerling 1 MATLAB Answers — New Questions
Micro-Hydro Turbine Modeling in Simulink
Hello, i’m currently working on a research related to modeling and analysis Micro-Hydro Power Plant, does anyone have a simulink model for microhydro turbine? and do you know the name of this component in simulink, Thank youHello, i’m currently working on a research related to modeling and analysis Micro-Hydro Power Plant, does anyone have a simulink model for microhydro turbine? and do you know the name of this component in simulink, Thank you Hello, i’m currently working on a research related to modeling and analysis Micro-Hydro Power Plant, does anyone have a simulink model for microhydro turbine? and do you know the name of this component in simulink, Thank you simulink, model MATLAB Answers — New Questions
Index exceeds array bounds despite a loop to prevent this?
function [peak_dat_avg] = FindMuscStrength8chan_Cfs(wavedata,channel,stim_freq,stim_time,lat1,lat2)
artefact_dat = wavedata(:,9,:);
emg_dat = wavedata(:,channel,:);
nframes = size(wavedata,3);
npulse = single(stim_freq*stim_time);
emgpeak_dat = zeros(npulse,1,nframes);
peak_vals = zeros(npulse,1);
for k = 1:nframes
[~, peak_locs] = findpeaks(artefact_dat(:,:,k),’NPeaks’,npulse,’MinPeakProminence’,0.025,’MaxPeakWidth’,5,’MinPeakDistance’,700);
start_idx = round(peak_locs + lat1);
end_idx = round(peak_locs + lat2);
numb_peaks = numel(peak_locs);
for i = 1:numb_peaks
for n = 1:numb_peaks
if (start_idx(n) > 6000)
start_idx(n) = 6000;
end_idx(n) = 6000;
end
end
peak_vals(i) = peak2peak(emg_dat(start_idx(i):end_idx(i),:,k));
end
emgpeak_dat(:,:,k) = peak_vals;
end
peak_dat_avg = mean(nonzeros(emgpeak_dat,1));
end
This function is designed to extract a small window of EMG data after locating a stimulation artefact on channel 9 of the data. The issue comes on line 28 where the error ‘Index in position 1 exceeds array bounds; Index can’t exceed 6000’ pops up. I understand this as when trying to select the window of emg_dat it is attempting to start from a sample higher than 6000. However, I tried to implement the if loop above to locate any index values greater than the range of the data and set them to the maximum. I would really appreciate help on fixing this issuefunction [peak_dat_avg] = FindMuscStrength8chan_Cfs(wavedata,channel,stim_freq,stim_time,lat1,lat2)
artefact_dat = wavedata(:,9,:);
emg_dat = wavedata(:,channel,:);
nframes = size(wavedata,3);
npulse = single(stim_freq*stim_time);
emgpeak_dat = zeros(npulse,1,nframes);
peak_vals = zeros(npulse,1);
for k = 1:nframes
[~, peak_locs] = findpeaks(artefact_dat(:,:,k),’NPeaks’,npulse,’MinPeakProminence’,0.025,’MaxPeakWidth’,5,’MinPeakDistance’,700);
start_idx = round(peak_locs + lat1);
end_idx = round(peak_locs + lat2);
numb_peaks = numel(peak_locs);
for i = 1:numb_peaks
for n = 1:numb_peaks
if (start_idx(n) > 6000)
start_idx(n) = 6000;
end_idx(n) = 6000;
end
end
peak_vals(i) = peak2peak(emg_dat(start_idx(i):end_idx(i),:,k));
end
emgpeak_dat(:,:,k) = peak_vals;
end
peak_dat_avg = mean(nonzeros(emgpeak_dat,1));
end
This function is designed to extract a small window of EMG data after locating a stimulation artefact on channel 9 of the data. The issue comes on line 28 where the error ‘Index in position 1 exceeds array bounds; Index can’t exceed 6000’ pops up. I understand this as when trying to select the window of emg_dat it is attempting to start from a sample higher than 6000. However, I tried to implement the if loop above to locate any index values greater than the range of the data and set them to the maximum. I would really appreciate help on fixing this issue function [peak_dat_avg] = FindMuscStrength8chan_Cfs(wavedata,channel,stim_freq,stim_time,lat1,lat2)
artefact_dat = wavedata(:,9,:);
emg_dat = wavedata(:,channel,:);
nframes = size(wavedata,3);
npulse = single(stim_freq*stim_time);
emgpeak_dat = zeros(npulse,1,nframes);
peak_vals = zeros(npulse,1);
for k = 1:nframes
[~, peak_locs] = findpeaks(artefact_dat(:,:,k),’NPeaks’,npulse,’MinPeakProminence’,0.025,’MaxPeakWidth’,5,’MinPeakDistance’,700);
start_idx = round(peak_locs + lat1);
end_idx = round(peak_locs + lat2);
numb_peaks = numel(peak_locs);
for i = 1:numb_peaks
for n = 1:numb_peaks
if (start_idx(n) > 6000)
start_idx(n) = 6000;
end_idx(n) = 6000;
end
end
peak_vals(i) = peak2peak(emg_dat(start_idx(i):end_idx(i),:,k));
end
emgpeak_dat(:,:,k) = peak_vals;
end
peak_dat_avg = mean(nonzeros(emgpeak_dat,1));
end
This function is designed to extract a small window of EMG data after locating a stimulation artefact on channel 9 of the data. The issue comes on line 28 where the error ‘Index in position 1 exceeds array bounds; Index can’t exceed 6000’ pops up. I understand this as when trying to select the window of emg_dat it is attempting to start from a sample higher than 6000. However, I tried to implement the if loop above to locate any index values greater than the range of the data and set them to the maximum. I would really appreciate help on fixing this issue error, signal processing MATLAB Answers — New Questions
How do I code Ziegler-Nichols Tuning Method to find PID control constants?
I need to use the Ziegler-Nichols Tuning rules to determine the PID control constants for the following system to meet a settling time ts ≤ 5 sec, an overshoot of Mp ≤ 50%, and zero steady state error to a unit step function input.
System:
PID control = Kp((Ti*Td*s^2+Ti*s+1)/(Ti*s))
And plant open loop transfer function = 10/(2*s^3+12*s^2+22*s+12)
PID control and plant function are in series with negative feedback loop.
For PID control tuning rules are as follows, Kp=0.6*Kr, Ti=0.5*Pcr, Td=0.125*Pcr
I appreciate your help.I need to use the Ziegler-Nichols Tuning rules to determine the PID control constants for the following system to meet a settling time ts ≤ 5 sec, an overshoot of Mp ≤ 50%, and zero steady state error to a unit step function input.
System:
PID control = Kp((Ti*Td*s^2+Ti*s+1)/(Ti*s))
And plant open loop transfer function = 10/(2*s^3+12*s^2+22*s+12)
PID control and plant function are in series with negative feedback loop.
For PID control tuning rules are as follows, Kp=0.6*Kr, Ti=0.5*Pcr, Td=0.125*Pcr
I appreciate your help. I need to use the Ziegler-Nichols Tuning rules to determine the PID control constants for the following system to meet a settling time ts ≤ 5 sec, an overshoot of Mp ≤ 50%, and zero steady state error to a unit step function input.
System:
PID control = Kp((Ti*Td*s^2+Ti*s+1)/(Ti*s))
And plant open loop transfer function = 10/(2*s^3+12*s^2+22*s+12)
PID control and plant function are in series with negative feedback loop.
For PID control tuning rules are as follows, Kp=0.6*Kr, Ti=0.5*Pcr, Td=0.125*Pcr
I appreciate your help. zeigler, nichols, pid, contoller, system dynamics, tuning method, control constants, plant function MATLAB Answers — New Questions
Error 5201 even after performing solutions available
After installing MATLAB (and a couple of toolboxes) in a new pc using my academic licence, the error 5201 appeared.
I went to the guide directed by the ‘Help’ option of the error message and performed all the recommended steps: Uninstalled/Reinstalled MathWorks Service Host, checked and allowed MATLAB and the MathWorks Service Host on my security software (Windows Defender) and verified if my Windows version was up to date (at the end of each step I always restarted my computer) and even tried reinstalling MATLAB. Noteworthy, I tried all these steps both in my workplace and at home to test if there was a connection problem.
Despite all these approaches, the error still pops up.
I could use MATLAB without problems in my old pc, but due to a malfunction I can no longer run it there so it was uninstalled.
Is there any possibility that an old file there or the fact that I had a previous installation is hindering the transition to the new device?
How can I solve this?
Thank you in advance!After installing MATLAB (and a couple of toolboxes) in a new pc using my academic licence, the error 5201 appeared.
I went to the guide directed by the ‘Help’ option of the error message and performed all the recommended steps: Uninstalled/Reinstalled MathWorks Service Host, checked and allowed MATLAB and the MathWorks Service Host on my security software (Windows Defender) and verified if my Windows version was up to date (at the end of each step I always restarted my computer) and even tried reinstalling MATLAB. Noteworthy, I tried all these steps both in my workplace and at home to test if there was a connection problem.
Despite all these approaches, the error still pops up.
I could use MATLAB without problems in my old pc, but due to a malfunction I can no longer run it there so it was uninstalled.
Is there any possibility that an old file there or the fact that I had a previous installation is hindering the transition to the new device?
How can I solve this?
Thank you in advance! After installing MATLAB (and a couple of toolboxes) in a new pc using my academic licence, the error 5201 appeared.
I went to the guide directed by the ‘Help’ option of the error message and performed all the recommended steps: Uninstalled/Reinstalled MathWorks Service Host, checked and allowed MATLAB and the MathWorks Service Host on my security software (Windows Defender) and verified if my Windows version was up to date (at the end of each step I always restarted my computer) and even tried reinstalling MATLAB. Noteworthy, I tried all these steps both in my workplace and at home to test if there was a connection problem.
Despite all these approaches, the error still pops up.
I could use MATLAB without problems in my old pc, but due to a malfunction I can no longer run it there so it was uninstalled.
Is there any possibility that an old file there or the fact that I had a previous installation is hindering the transition to the new device?
How can I solve this?
Thank you in advance! matlab, initialization, error MATLAB Answers — New Questions
I am working on maxima and minima of multi variables.getting multiple same errors “Variable appears to change size on every loop iteration. Consider preallocating for speed”
clc
clear
clear all
syms x y
f(x,y) = input(‘Enter the function f(x,y):’);
p = diff(f,x); q=diff(f,y);
[ax,ay] = solve(p,q);
ax = double(ax);ay=double(ay); %
r = diff(p,x); s = diff(q,x); t = diff(q,y); D = r*t-s^2;
%figure
fsurf(f);
legstr={‘Function Plot’}; % For legend
for i=1:size(ax)
T1=D(ax(i),ay(i));
T2=r(ax(i),ay(i));
T3=f(ax(i),ay(i));
if(double(T1)==0)
sprintf(‘At (%f,%f) further investigation is required’,ax(i),ay(i))
legstr = [legstr,{‘Case of Further investigation’}];
mkr =’ko’;
elseif (double(T1)<0)
sprintf(‘The point (%f,%f) is a saddle point’, ax(i),ay(i))
legstr = [legstr,{‘Saddle Point’}]; % updating Legend
mkr =’bv’; % marker
else
if (double(T2) > 0)
sprintf(‘The maximum value of the function is f(%f,%f)=%f’, ax(i),ay(i), T3)
legstr = [legstr,{‘Maximum value of the function’}];% updating Legend
mkr=’g+’;% marker
else
sprintf(‘The minimum value of the function is f(%f,%f)=%f’, ax(i),ay(i), T3)
legstr = [legstr,{‘Minimum value of the function’}];% updating Legend
mkr=’r*’; % marker
end
end
hold on
plot3(ax(i),ay(i),T3,mkr,’Linewidth’,4);
end
legend(legstr,’Location’,’Best’);clc
clear
clear all
syms x y
f(x,y) = input(‘Enter the function f(x,y):’);
p = diff(f,x); q=diff(f,y);
[ax,ay] = solve(p,q);
ax = double(ax);ay=double(ay); %
r = diff(p,x); s = diff(q,x); t = diff(q,y); D = r*t-s^2;
%figure
fsurf(f);
legstr={‘Function Plot’}; % For legend
for i=1:size(ax)
T1=D(ax(i),ay(i));
T2=r(ax(i),ay(i));
T3=f(ax(i),ay(i));
if(double(T1)==0)
sprintf(‘At (%f,%f) further investigation is required’,ax(i),ay(i))
legstr = [legstr,{‘Case of Further investigation’}];
mkr =’ko’;
elseif (double(T1)<0)
sprintf(‘The point (%f,%f) is a saddle point’, ax(i),ay(i))
legstr = [legstr,{‘Saddle Point’}]; % updating Legend
mkr =’bv’; % marker
else
if (double(T2) > 0)
sprintf(‘The maximum value of the function is f(%f,%f)=%f’, ax(i),ay(i), T3)
legstr = [legstr,{‘Maximum value of the function’}];% updating Legend
mkr=’g+’;% marker
else
sprintf(‘The minimum value of the function is f(%f,%f)=%f’, ax(i),ay(i), T3)
legstr = [legstr,{‘Minimum value of the function’}];% updating Legend
mkr=’r*’; % marker
end
end
hold on
plot3(ax(i),ay(i),T3,mkr,’Linewidth’,4);
end
legend(legstr,’Location’,’Best’); clc
clear
clear all
syms x y
f(x,y) = input(‘Enter the function f(x,y):’);
p = diff(f,x); q=diff(f,y);
[ax,ay] = solve(p,q);
ax = double(ax);ay=double(ay); %
r = diff(p,x); s = diff(q,x); t = diff(q,y); D = r*t-s^2;
%figure
fsurf(f);
legstr={‘Function Plot’}; % For legend
for i=1:size(ax)
T1=D(ax(i),ay(i));
T2=r(ax(i),ay(i));
T3=f(ax(i),ay(i));
if(double(T1)==0)
sprintf(‘At (%f,%f) further investigation is required’,ax(i),ay(i))
legstr = [legstr,{‘Case of Further investigation’}];
mkr =’ko’;
elseif (double(T1)<0)
sprintf(‘The point (%f,%f) is a saddle point’, ax(i),ay(i))
legstr = [legstr,{‘Saddle Point’}]; % updating Legend
mkr =’bv’; % marker
else
if (double(T2) > 0)
sprintf(‘The maximum value of the function is f(%f,%f)=%f’, ax(i),ay(i), T3)
legstr = [legstr,{‘Maximum value of the function’}];% updating Legend
mkr=’g+’;% marker
else
sprintf(‘The minimum value of the function is f(%f,%f)=%f’, ax(i),ay(i), T3)
legstr = [legstr,{‘Minimum value of the function’}];% updating Legend
mkr=’r*’; % marker
end
end
hold on
plot3(ax(i),ay(i),T3,mkr,’Linewidth’,4);
end
legend(legstr,’Location’,’Best’); multiple variable differentiaion MATLAB Answers — New Questions
What are the packages I need to select while installing MATALB for suceessfully installing MATLAB runtime.
I want to use MATLAB runtime installer for TI’s mmWave Studio.
Since my instistution licence got expired, I downloaded trial version 2024a.
I installed some packages like MATLAB, MATLAB coder, DSP toolox, Simulik, Simulik coder, Image processing toolox.
I didn’t see MATLAB compiler, SImulink compiler in the package list. I installed minGW compiler from add-ons in MATLAB menu.
After installing above packages, I came to know that MATAL runtime is not installed when i used mmWave studio.
What are the packages I need to select while installing MATALB for suceessfully installing MATLAB runtime.?I want to use MATLAB runtime installer for TI’s mmWave Studio.
Since my instistution licence got expired, I downloaded trial version 2024a.
I installed some packages like MATLAB, MATLAB coder, DSP toolox, Simulik, Simulik coder, Image processing toolox.
I didn’t see MATLAB compiler, SImulink compiler in the package list. I installed minGW compiler from add-ons in MATLAB menu.
After installing above packages, I came to know that MATAL runtime is not installed when i used mmWave studio.
What are the packages I need to select while installing MATALB for suceessfully installing MATLAB runtime.? I want to use MATLAB runtime installer for TI’s mmWave Studio.
Since my instistution licence got expired, I downloaded trial version 2024a.
I installed some packages like MATLAB, MATLAB coder, DSP toolox, Simulik, Simulik coder, Image processing toolox.
I didn’t see MATLAB compiler, SImulink compiler in the package list. I installed minGW compiler from add-ons in MATLAB menu.
After installing above packages, I came to know that MATAL runtime is not installed when i used mmWave studio.
What are the packages I need to select while installing MATALB for suceessfully installing MATLAB runtime.? runtime installer, matlab coder, 2024a, matlab, simulink coder MATLAB Answers — New Questions
Debug Simulink MATLAB funciton block inside for each subsystem
Is there a way to debug a Simulink MATLAB function block inside a For Each subsystem with the same capabilities that are provided when the function block is not in a for each subsystem?
When troubleshooting a Simulink MATLAB function block inside of a for each subsystem, my breakpoints pause program execution and take me to the breakpoint that activated, but I cannot access any of the variable values via hover or the MATLAB debug console.
The breakpoints seem to activate for every for each iteration (as expected) but I cannot see the values of any variables in the same way that I can when the function block is not in a for each subsystem.Is there a way to debug a Simulink MATLAB function block inside a For Each subsystem with the same capabilities that are provided when the function block is not in a for each subsystem?
When troubleshooting a Simulink MATLAB function block inside of a for each subsystem, my breakpoints pause program execution and take me to the breakpoint that activated, but I cannot access any of the variable values via hover or the MATLAB debug console.
The breakpoints seem to activate for every for each iteration (as expected) but I cannot see the values of any variables in the same way that I can when the function block is not in a for each subsystem. Is there a way to debug a Simulink MATLAB function block inside a For Each subsystem with the same capabilities that are provided when the function block is not in a for each subsystem?
When troubleshooting a Simulink MATLAB function block inside of a for each subsystem, my breakpoints pause program execution and take me to the breakpoint that activated, but I cannot access any of the variable values via hover or the MATLAB debug console.
The breakpoints seem to activate for every for each iteration (as expected) but I cannot see the values of any variables in the same way that I can when the function block is not in a for each subsystem. simulink matlab function, for each subsystem MATLAB Answers — New Questions
Discrit time simulation for a LQR control doesn’t follow reference
Hi!
I’m trying to make a simulation for a discret time LQR control, the model is an inverted pendulum. The simulation doesn’t follow the referecenses. What to do?
Simulink model:
"Sistem discret" subsystem:
"Controller DtT1" subsystem:
Scope:
Matlab code:
clc
clear all
close all
%% parametrii modelelului 2
Mp = 0.272;
dM = 0.071;
g = 9.81;
J = 0.002;
Jw = 3.941*10^-5;
b_theta = 0.82*10^-3;
b_altha_kmke_Ra = 1.202*10^-4;
km_Ra = 1.837*10^-4;
%% matricea modelului spatial
A = [0 1 0 0;
(Mp*dM*g)/J -(b_theta)/J 0 1/J*b_altha_kmke_Ra;
0 0 0 1;
-(Mp*g*dM)/J b_theta/J 0 -(J+Jw)/(J*Jw)*b_altha_kmke_Ra];
B = [0 0;
-1/J*km_Ra 1/J;
0 0;
(J+Jw)/(J*Jw)*km_Ra -1/J];
C = [1 0 0 0;
0 1 0 0;
0 0 1 0;
0 0 0 1];
D = [0 0; 0 0;0 0;0 0];
%% construirea sistemului
sys = ss(A,B,C,0);
xd = [50;0;200;0]; %desired conditions
x0 = 1*randn(4,1); %initial conditions
%% Discretizare
Ts = 0.1;
sys_d = c2d(sys,Ts);
Ad = sys_d.a;
Bd = sys_d.b;
Cd = sys_d.c;
Dd = sys_d.d;
Q = [100 0 0 0;
0 100 0 0;
0 0 10 0;
0 0 0 1];
Rd = eye(size(B, 2));
K_d = dlqr(Ad,Bd,Q,Rd,N);Hi!
I’m trying to make a simulation for a discret time LQR control, the model is an inverted pendulum. The simulation doesn’t follow the referecenses. What to do?
Simulink model:
"Sistem discret" subsystem:
"Controller DtT1" subsystem:
Scope:
Matlab code:
clc
clear all
close all
%% parametrii modelelului 2
Mp = 0.272;
dM = 0.071;
g = 9.81;
J = 0.002;
Jw = 3.941*10^-5;
b_theta = 0.82*10^-3;
b_altha_kmke_Ra = 1.202*10^-4;
km_Ra = 1.837*10^-4;
%% matricea modelului spatial
A = [0 1 0 0;
(Mp*dM*g)/J -(b_theta)/J 0 1/J*b_altha_kmke_Ra;
0 0 0 1;
-(Mp*g*dM)/J b_theta/J 0 -(J+Jw)/(J*Jw)*b_altha_kmke_Ra];
B = [0 0;
-1/J*km_Ra 1/J;
0 0;
(J+Jw)/(J*Jw)*km_Ra -1/J];
C = [1 0 0 0;
0 1 0 0;
0 0 1 0;
0 0 0 1];
D = [0 0; 0 0;0 0;0 0];
%% construirea sistemului
sys = ss(A,B,C,0);
xd = [50;0;200;0]; %desired conditions
x0 = 1*randn(4,1); %initial conditions
%% Discretizare
Ts = 0.1;
sys_d = c2d(sys,Ts);
Ad = sys_d.a;
Bd = sys_d.b;
Cd = sys_d.c;
Dd = sys_d.d;
Q = [100 0 0 0;
0 100 0 0;
0 0 10 0;
0 0 0 1];
Rd = eye(size(B, 2));
K_d = dlqr(Ad,Bd,Q,Rd,N); Hi!
I’m trying to make a simulation for a discret time LQR control, the model is an inverted pendulum. The simulation doesn’t follow the referecenses. What to do?
Simulink model:
"Sistem discret" subsystem:
"Controller DtT1" subsystem:
Scope:
Matlab code:
clc
clear all
close all
%% parametrii modelelului 2
Mp = 0.272;
dM = 0.071;
g = 9.81;
J = 0.002;
Jw = 3.941*10^-5;
b_theta = 0.82*10^-3;
b_altha_kmke_Ra = 1.202*10^-4;
km_Ra = 1.837*10^-4;
%% matricea modelului spatial
A = [0 1 0 0;
(Mp*dM*g)/J -(b_theta)/J 0 1/J*b_altha_kmke_Ra;
0 0 0 1;
-(Mp*g*dM)/J b_theta/J 0 -(J+Jw)/(J*Jw)*b_altha_kmke_Ra];
B = [0 0;
-1/J*km_Ra 1/J;
0 0;
(J+Jw)/(J*Jw)*km_Ra -1/J];
C = [1 0 0 0;
0 1 0 0;
0 0 1 0;
0 0 0 1];
D = [0 0; 0 0;0 0;0 0];
%% construirea sistemului
sys = ss(A,B,C,0);
xd = [50;0;200;0]; %desired conditions
x0 = 1*randn(4,1); %initial conditions
%% Discretizare
Ts = 0.1;
sys_d = c2d(sys,Ts);
Ad = sys_d.a;
Bd = sys_d.b;
Cd = sys_d.c;
Dd = sys_d.d;
Q = [100 0 0 0;
0 100 0 0;
0 0 10 0;
0 0 0 1];
Rd = eye(size(B, 2));
K_d = dlqr(Ad,Bd,Q,Rd,N); matlab, simulink, equation, control, lqr, state-space, discret time MATLAB Answers — New Questions
MATLAB vs FFT IP core ALTERA Fixed-Point Representation:
I am working with an Altera FFT IP core and MATLAB to process FFT results. I have noticed a discrepancy in the fixed-point representation of the real part of the FFT results between the two systems. For example, the real part results from the Altera FFT IP core are 4608 and -512, while the corresponding results from MATLAB are 4.6080 and -0.5120
How does the fixed-point representation in MATLAB differ from that of the Altera FFT IP core?
How can I convert the results from the MATLAB to match fixed-point FFT IP core Altera format?
Are there any specific functions or tools in MATLAB that facilitate the matching of fixed-point formats between MATLAB and FPGA implementations?
Thank you!I am working with an Altera FFT IP core and MATLAB to process FFT results. I have noticed a discrepancy in the fixed-point representation of the real part of the FFT results between the two systems. For example, the real part results from the Altera FFT IP core are 4608 and -512, while the corresponding results from MATLAB are 4.6080 and -0.5120
How does the fixed-point representation in MATLAB differ from that of the Altera FFT IP core?
How can I convert the results from the MATLAB to match fixed-point FFT IP core Altera format?
Are there any specific functions or tools in MATLAB that facilitate the matching of fixed-point formats between MATLAB and FPGA implementations?
Thank you! I am working with an Altera FFT IP core and MATLAB to process FFT results. I have noticed a discrepancy in the fixed-point representation of the real part of the FFT results between the two systems. For example, the real part results from the Altera FFT IP core are 4608 and -512, while the corresponding results from MATLAB are 4.6080 and -0.5120
How does the fixed-point representation in MATLAB differ from that of the Altera FFT IP core?
How can I convert the results from the MATLAB to match fixed-point FFT IP core Altera format?
Are there any specific functions or tools in MATLAB that facilitate the matching of fixed-point formats between MATLAB and FPGA implementations?
Thank you! fft, matlab code, altera fft ip core MATLAB Answers — New Questions
How to access SM variable in Asynchronous Machine SI Units Block?
I am looking inside the saturation subsystem of the mask of the Asynchronous Machine State-space model. This subsystem is inside the asychronous machine state-space model subsystem which is inside the electrical model subsystem. I would love to know the values of SM.Phisat and SM.Lsat that are used in this lookup table. How can I access these values? The "open" button shown on the right is greyed out and I cannot click on it.I am looking inside the saturation subsystem of the mask of the Asynchronous Machine State-space model. This subsystem is inside the asychronous machine state-space model subsystem which is inside the electrical model subsystem. I would love to know the values of SM.Phisat and SM.Lsat that are used in this lookup table. How can I access these values? The "open" button shown on the right is greyed out and I cannot click on it. I am looking inside the saturation subsystem of the mask of the Asynchronous Machine State-space model. This subsystem is inside the asychronous machine state-space model subsystem which is inside the electrical model subsystem. I would love to know the values of SM.Phisat and SM.Lsat that are used in this lookup table. How can I access these values? The "open" button shown on the right is greyed out and I cannot click on it. asynchronous machine MATLAB Answers — New Questions
Get information from Unit Conversion
Hi everyone, I am studying a simbiology model not made by me. In particular, I know that some parameters/species have inconsistent units, I just don’t know which ones, since it’s a huge model. While the Unit Conversion of Simbiology works perfectly, I’d like to know which parameters have different units; in other words I’d like to have a model with consistent units, that would work without using the unit conversion. It would also be sufficient to have, somehow, a table of the changes in units wrt a ‘ground’ unit, so that I can change the units manually.
I don’t know if that’s possible in simbiology and I haven’t found any documentation on that.Hi everyone, I am studying a simbiology model not made by me. In particular, I know that some parameters/species have inconsistent units, I just don’t know which ones, since it’s a huge model. While the Unit Conversion of Simbiology works perfectly, I’d like to know which parameters have different units; in other words I’d like to have a model with consistent units, that would work without using the unit conversion. It would also be sufficient to have, somehow, a table of the changes in units wrt a ‘ground’ unit, so that I can change the units manually.
I don’t know if that’s possible in simbiology and I haven’t found any documentation on that. Hi everyone, I am studying a simbiology model not made by me. In particular, I know that some parameters/species have inconsistent units, I just don’t know which ones, since it’s a huge model. While the Unit Conversion of Simbiology works perfectly, I’d like to know which parameters have different units; in other words I’d like to have a model with consistent units, that would work without using the unit conversion. It would also be sufficient to have, somehow, a table of the changes in units wrt a ‘ground’ unit, so that I can change the units manually.
I don’t know if that’s possible in simbiology and I haven’t found any documentation on that. simbiology, unit conversion MATLAB Answers — New Questions
AnnotationPane errors on Guide
Hi,
When MathWorks will solve the BUGs using guide on 2019b?
I just update to 2019b and it is impossible to work with all those AnnotationPane errors…
Ungoing project stopped, to late to migrate to code based GUIs or the new AppDesign interface.Hi,
When MathWorks will solve the BUGs using guide on 2019b?
I just update to 2019b and it is impossible to work with all those AnnotationPane errors…
Ungoing project stopped, to late to migrate to code based GUIs or the new AppDesign interface. Hi,
When MathWorks will solve the BUGs using guide on 2019b?
I just update to 2019b and it is impossible to work with all those AnnotationPane errors…
Ungoing project stopped, to late to migrate to code based GUIs or the new AppDesign interface. annotationpane, bug MATLAB Answers — New Questions
