i was trying to make a predictive code algorithm however i recieve the same error every time .

code below.
function [Sa,Sb,Sc] = control(T_ref,sflux_ref,wm,i_meas)
% Variables defined in the parameters file
global Ts Rs Lr Lm Ls p tr kr r_sigma t_sigma lambda v states
persistent x_opt Fs %Fsp1 Tp1 g
if isempty(x_opt), x_opt = 1; end
if isempty(Fs), Fs = 0 + 0i*1; end

T_ref = T_ref(1) + 1j*T_ref(2);
sflux_ref = sflux_ref(1) + 1j*sflux(2);
i_meas = i_meas(1) + 1j*i_meas(2);
wm = wm(1) + 1j*wm(2);
% Stator flux estimate
Fs = Fs + Ts*(v(x_opt) – Rs*i_meas);
% Rotor flux estimate
Fr = Lr/Lm*Fs+i_meas*(Lm-Lr*Ls/Lm);
g_opt = 1e10;
for i = 1:8
% i-th voltage vector for current prediction
v_o1 = v(i);
% Stator flux prediction at instant k+1
Fsp1 = Fs + Ts*v_o1 – Rs*Ts*i_meas;
% Stator current prediction at instant k+1
Isp1 = (1+Ts/t_sigma)*i_meas+Ts/(t_sigma+Ts)*(1/r_sigma*((kr/tr-kr*1i*wm)*Fr+v_o1));
% Torque prediction at instant k+1
Tp1 = 3/2*p*imag(conj(Fsp1)*Isp1);
% Cost function
g = abs(T_ref – Tp1)+ lambda*abs(sflux_ref-abs(Fsp1));
if (g<g_opt)
g_opt = g;
x_opt = i;
end
endi was trying to make a predictive code algorithm however i recieve the same error every time .

code below.
function [Sa,Sb,Sc] = control(T_ref,sflux_ref,wm,i_meas)
% Variables defined in the parameters file
global Ts Rs Lr Lm Ls p tr kr r_sigma t_sigma lambda v states
persistent x_opt Fs %Fsp1 Tp1 g
if isempty(x_opt), x_opt = 1; end
if isempty(Fs), Fs = 0 + 0i*1; end

T_ref = T_ref(1) + 1j*T_ref(2);
sflux_ref = sflux_ref(1) + 1j*sflux(2);
i_meas = i_meas(1) + 1j*i_meas(2);
wm = wm(1) + 1j*wm(2);
% Stator flux estimate
Fs = Fs + Ts*(v(x_opt) – Rs*i_meas);
% Rotor flux estimate
Fr = Lr/Lm*Fs+i_meas*(Lm-Lr*Ls/Lm);
g_opt = 1e10;
for i = 1:8
% i-th voltage vector for current prediction
v_o1 = v(i);
% Stator flux prediction at instant k+1
Fsp1 = Fs + Ts*v_o1 – Rs*Ts*i_meas;
% Stator current prediction at instant k+1
Isp1 = (1+Ts/t_sigma)*i_meas+Ts/(t_sigma+Ts)*(1/r_sigma*((kr/tr-kr*1i*wm)*Fr+v_o1));
% Torque prediction at instant k+1
Tp1 = 3/2*p*imag(conj(Fsp1)*Isp1);
% Cost function
g = abs(T_ref – Tp1)+ lambda*abs(sflux_ref-abs(Fsp1));
if (g<g_opt)
g_opt = g;
x_opt = i;
end
end i was trying to make a predictive code algorithm however i recieve the same error every time .

code below.
function [Sa,Sb,Sc] = control(T_ref,sflux_ref,wm,i_meas)
% Variables defined in the parameters file
global Ts Rs Lr Lm Ls p tr kr r_sigma t_sigma lambda v states
persistent x_opt Fs %Fsp1 Tp1 g
if isempty(x_opt), x_opt = 1; end
if isempty(Fs), Fs = 0 + 0i*1; end

T_ref = T_ref(1) + 1j*T_ref(2);
sflux_ref = sflux_ref(1) + 1j*sflux(2);
i_meas = i_meas(1) + 1j*i_meas(2);
wm = wm(1) + 1j*wm(2);
% Stator flux estimate
Fs = Fs + Ts*(v(x_opt) – Rs*i_meas);
% Rotor flux estimate
Fr = Lr/Lm*Fs+i_meas*(Lm-Lr*Ls/Lm);
g_opt = 1e10;
for i = 1:8
% i-th voltage vector for current prediction
v_o1 = v(i);
% Stator flux prediction at instant k+1
Fsp1 = Fs + Ts*v_o1 – Rs*Ts*i_meas;
% Stator current prediction at instant k+1
Isp1 = (1+Ts/t_sigma)*i_meas+Ts/(t_sigma+Ts)*(1/r_sigma*((kr/tr-kr*1i*wm)*Fr+v_o1));
% Torque prediction at instant k+1
Tp1 = 3/2*p*imag(conj(Fsp1)*Isp1);
% Cost function
g = abs(T_ref – Tp1)+ lambda*abs(sflux_ref-abs(Fsp1));
if (g<g_opt)
g_opt = g;
x_opt = i;
end
end ports, data manager, store memory MATLAB Answers — New Questions

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Motor not responding after dumping and run the code in TI F28379d LaunchPad using BOOSTXL-3PhGaNInv booster pack also chacked the PMW pin no 37-40 but did not get any signal. Is there any way to observe the PWM signal from Lunchpad without using the motor to validate the code generation is working.Motor not responding after dumping and run the code in TI F28379d LaunchPad using BOOSTXL-3PhGaNInv booster pack also chacked the PMW pin no 37-40 but did not get any signal. Is there any way to observe the PWM signal from Lunchpad without using the motor to validate the code generation is working. Motor not responding after dumping and run the code in TI F28379d LaunchPad using BOOSTXL-3PhGaNInv booster pack also chacked the PMW pin no 37-40 but did not get any signal. Is there any way to observe the PWM signal from Lunchpad without using the motor to validate the code generation is working. pmsm, motor control, ti f28379d launchpad, boostxl-3phganinv MATLAB Answers — New Questions

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I have Navisys GR-401 gps receiver which works just fine with SiRF-Live. I know it uses COM3, but I am unable to read data with matlab.
with:
s = serialport(‘COM3’,9600);
gps = gpsdev(s,’OutputFormat’,"timetable");
and
read(gps)
gives error:
Obtaining the required NMEA sentences (RMC, GGA and GSA) is taking longer than expected. Verify the physical connection of the GPS device to the specified serial port and the configuration of the GPS device.
also
gps = gpsReceiver(‘COM3’);
and
read(gps)
gives error
Warning: Unsuccessful read: The input buffer was filled before the Terminator was reached.
‘serial’ unable to read all requested data. For more information on possible reasons, see Serial Read Warnings.

any ideas what is the culprit here?I have Navisys GR-401 gps receiver which works just fine with SiRF-Live. I know it uses COM3, but I am unable to read data with matlab.
with:
s = serialport(‘COM3’,9600);
gps = gpsdev(s,’OutputFormat’,"timetable");
and
read(gps)
gives error:
Obtaining the required NMEA sentences (RMC, GGA and GSA) is taking longer than expected. Verify the physical connection of the GPS device to the specified serial port and the configuration of the GPS device.
also
gps = gpsReceiver(‘COM3’);
and
read(gps)
gives error
Warning: Unsuccessful read: The input buffer was filled before the Terminator was reached.
‘serial’ unable to read all requested data. For more information on possible reasons, see Serial Read Warnings.

any ideas what is the culprit here? I have Navisys GR-401 gps receiver which works just fine with SiRF-Live. I know it uses COM3, but I am unable to read data with matlab.
with:
s = serialport(‘COM3’,9600);
gps = gpsdev(s,’OutputFormat’,"timetable");
and
read(gps)
gives error:
Obtaining the required NMEA sentences (RMC, GGA and GSA) is taking longer than expected. Verify the physical connection of the GPS device to the specified serial port and the configuration of the GPS device.
also
gps = gpsReceiver(‘COM3’);
and
read(gps)
gives error
Warning: Unsuccessful read: The input buffer was filled before the Terminator was reached.
‘serial’ unable to read all requested data. For more information on possible reasons, see Serial Read Warnings.

any ideas what is the culprit here? gps, gr-401 MATLAB Answers — New Questions

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I have a logical array that is 100×1 logical. sometimes it contains a mix of numbers and sometimes it contains all 0s.

How would i go about making an if statement that checks to see if all 100×1 is 0s and if all 0s = do something
I thought i was correct in using any command but im not sure that works correctly for me..

Thanks!I have a logical array that is 100×1 logical. sometimes it contains a mix of numbers and sometimes it contains all 0s.

How would i go about making an if statement that checks to see if all 100×1 is 0s and if all 0s = do something
I thought i was correct in using any command but im not sure that works correctly for me..

Thanks! I have a logical array that is 100×1 logical. sometimes it contains a mix of numbers and sometimes it contains all 0s.

How would i go about making an if statement that checks to see if all 100×1 is 0s and if all 0s = do something
I thought i was correct in using any command but im not sure that works correctly for me..

Thanks! array, logic, if statement MATLAB Answers — New Questions

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Hi all, what i want is a code that can actually place random carbon nanotubes in a cube domain so that i can use it in comsol livelink MATLAB bellow is a code that puts spheres which i found in this forum i need it based on that.. :
function P = GetRandomSpheres(nWant, Width, Radius)
% INPUT:
% nWant: Number of spheres
% Width: Dimension of 3d box as [1 x 3] double vector
% Radius: Radius of spheres
% OUTPUT:
% P: [nWant x 3] matrix, centers

P = zeros(nWant, 3);

R2 = (2 * Radius) ^ 2; % Squared once instead of SQRT each time
W = Width – 2 * Radius; % Avoid interesction with borders
iLoop = 1; % Security break to avoid infinite loop
nValid = 0;
while nValid < nWant && iLoop < 1e12
newP = rand(1, 3) .* W + Radius;
% Auto-expanding, need Matlab >= R2016b. For earlier versions:
% Dist2 = sum(bsxfun(@minus, P(1:nValid, :), newP) .^ 2, 2);
Dist2 = sum((P(1:nValid, 🙂 – newP) .^ 2, 2);
if all(Dist2 > R2)
% Success: The new point does not touch existing sheres:
nValid = nValid + 1; % Append this point
P(nValid, 🙂 = newP;
end
iLoop = iLoop + 1;
end
% Stop if too few values have been found:
if nValid < nWant
error(‘Cannot find wanted number of points in %d iterations.’, iLoop)
end
end

n = 100;
R = 5;
P = GetRandomSpheres(n, [100, 100, 100], R);
figure
axes(‘NextPlot’, ‘add’, …
‘XLim’, [0, 100], ‘YLim’, [0, 100], ‘ZLim’, [0, 100]);
view(3);
[X, Y, Z] = sphere();
for k = 1:n
surf(X * R + P(k, 1), Y * R + P(k, 2), Z * R + P(k, 3));
endHi all, what i want is a code that can actually place random carbon nanotubes in a cube domain so that i can use it in comsol livelink MATLAB bellow is a code that puts spheres which i found in this forum i need it based on that.. :
function P = GetRandomSpheres(nWant, Width, Radius)
% INPUT:
% nWant: Number of spheres
% Width: Dimension of 3d box as [1 x 3] double vector
% Radius: Radius of spheres
% OUTPUT:
% P: [nWant x 3] matrix, centers

P = zeros(nWant, 3);

R2 = (2 * Radius) ^ 2; % Squared once instead of SQRT each time
W = Width – 2 * Radius; % Avoid interesction with borders
iLoop = 1; % Security break to avoid infinite loop
nValid = 0;
while nValid < nWant && iLoop < 1e12
newP = rand(1, 3) .* W + Radius;
% Auto-expanding, need Matlab >= R2016b. For earlier versions:
% Dist2 = sum(bsxfun(@minus, P(1:nValid, :), newP) .^ 2, 2);
Dist2 = sum((P(1:nValid, 🙂 – newP) .^ 2, 2);
if all(Dist2 > R2)
% Success: The new point does not touch existing sheres:
nValid = nValid + 1; % Append this point
P(nValid, 🙂 = newP;
end
iLoop = iLoop + 1;
end
% Stop if too few values have been found:
if nValid < nWant
error(‘Cannot find wanted number of points in %d iterations.’, iLoop)
end
end

n = 100;
R = 5;
P = GetRandomSpheres(n, [100, 100, 100], R);
figure
axes(‘NextPlot’, ‘add’, …
‘XLim’, [0, 100], ‘YLim’, [0, 100], ‘ZLim’, [0, 100]);
view(3);
[X, Y, Z] = sphere();
for k = 1:n
surf(X * R + P(k, 1), Y * R + P(k, 2), Z * R + P(k, 3));
end Hi all, what i want is a code that can actually place random carbon nanotubes in a cube domain so that i can use it in comsol livelink MATLAB bellow is a code that puts spheres which i found in this forum i need it based on that.. :
function P = GetRandomSpheres(nWant, Width, Radius)
% INPUT:
% nWant: Number of spheres
% Width: Dimension of 3d box as [1 x 3] double vector
% Radius: Radius of spheres
% OUTPUT:
% P: [nWant x 3] matrix, centers

P = zeros(nWant, 3);

R2 = (2 * Radius) ^ 2; % Squared once instead of SQRT each time
W = Width – 2 * Radius; % Avoid interesction with borders
iLoop = 1; % Security break to avoid infinite loop
nValid = 0;
while nValid < nWant && iLoop < 1e12
newP = rand(1, 3) .* W + Radius;
% Auto-expanding, need Matlab >= R2016b. For earlier versions:
% Dist2 = sum(bsxfun(@minus, P(1:nValid, :), newP) .^ 2, 2);
Dist2 = sum((P(1:nValid, 🙂 – newP) .^ 2, 2);
if all(Dist2 > R2)
% Success: The new point does not touch existing sheres:
nValid = nValid + 1; % Append this point
P(nValid, 🙂 = newP;
end
iLoop = iLoop + 1;
end
% Stop if too few values have been found:
if nValid < nWant
error(‘Cannot find wanted number of points in %d iterations.’, iLoop)
end
end

n = 100;
R = 5;
P = GetRandomSpheres(n, [100, 100, 100], R);
figure
axes(‘NextPlot’, ‘add’, …
‘XLim’, [0, 100], ‘YLim’, [0, 100], ‘ZLim’, [0, 100]);
view(3);
[X, Y, Z] = sphere();
for k = 1:n
surf(X * R + P(k, 1), Y * R + P(k, 2), Z * R + P(k, 3));
end matlab, random, java, comsol, geometry, matlab code, programming MATLAB Answers — New Questions

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I find that when I create a struct (or object) whose fields are large gpuArrays, it takes an extremely long time (1-2 minutes) to display the struct at the command line. Example:
>> c.data=gpuArray.rand(266,354,894,’single’);
>> tic; c, toc

c =

struct with fields:

data: [266×354×894 gpuArray]

Elapsed time is 100.266106 seconds.
I have observed this in R2024b on two platforms,
(1) Windows 10; NVIDIA GeForce RTX 4080 SUPER
(2) Windows 11; NVIDIA RTX 5000 Ada Generation
Does anyone know why this might be happening?I find that when I create a struct (or object) whose fields are large gpuArrays, it takes an extremely long time (1-2 minutes) to display the struct at the command line. Example:
>> c.data=gpuArray.rand(266,354,894,’single’);
>> tic; c, toc

c =

struct with fields:

data: [266×354×894 gpuArray]

Elapsed time is 100.266106 seconds.
I have observed this in R2024b on two platforms,
(1) Windows 10; NVIDIA GeForce RTX 4080 SUPER
(2) Windows 11; NVIDIA RTX 5000 Ada Generation
Does anyone know why this might be happening? I find that when I create a struct (or object) whose fields are large gpuArrays, it takes an extremely long time (1-2 minutes) to display the struct at the command line. Example:
>> c.data=gpuArray.rand(266,354,894,’single’);
>> tic; c, toc

c =

struct with fields:

data: [266×354×894 gpuArray]

Elapsed time is 100.266106 seconds.
I have observed this in R2024b on two platforms,
(1) Windows 10; NVIDIA GeForce RTX 4080 SUPER
(2) Windows 11; NVIDIA RTX 5000 Ada Generation
Does anyone know why this might be happening? struct, gpuarray, display MATLAB Answers — New Questions

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I have a smoothed edge image and would like to highlight with 2 different colors (green – complete triangle, red – incomplete traingle) and display their respective count (how many incomplete triangles and how many complete triangles). I have attached image for reference.I have a smoothed edge image and would like to highlight with 2 different colors (green – complete triangle, red – incomplete traingle) and display their respective count (how many incomplete triangles and how many complete triangles). I have attached image for reference. I have a smoothed edge image and would like to highlight with 2 different colors (green – complete triangle, red – incomplete traingle) and display their respective count (how many incomplete triangles and how many complete triangles). I have attached image for reference. image processing, detection, triangle, image segmentation MATLAB Answers — New Questions

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from this code what is the problem that i faced because the fft not show

a = arduino;
imu = mpu6050(a);
xlabel(‘Count’);
ylabel(‘Acceleration (m/s^2)’);
title(‘Acceleration values from mpu6050 sensor (Z-axis only)’);
z_val = animatedline(‘Color’,’b’);
axis tight;
legend(‘Acceleration in Z-axis’);
stop_time = 100;
count = 1;
tic;
while(toc <= stop_time)
[accel] = readAcceleration(imu);
if ~isempty(accel)
addpoints(z_val,count,accel(:,3));
% Compute FFT of the Z-axis acceleration
fft_z = fft(accel(:,3));
n = length(fft_z);
freq = (0:n-1)*(100/stop_time)/n; % Assuming sampling rate based on stop_time
% Plot the FFT magnitude
subplot(2,1,2);
plot(freq, abs(fft_z));
xlabel(‘Frequency (Hz)’);
ylabel(‘Magnitude’);
title(‘FFT of Z-axis Acceleration’);
drawnow limitrate;

count = count + 1;
end
endfrom this code what is the problem that i faced because the fft not show

a = arduino;
imu = mpu6050(a);
xlabel(‘Count’);
ylabel(‘Acceleration (m/s^2)’);
title(‘Acceleration values from mpu6050 sensor (Z-axis only)’);
z_val = animatedline(‘Color’,’b’);
axis tight;
legend(‘Acceleration in Z-axis’);
stop_time = 100;
count = 1;
tic;
while(toc <= stop_time)
[accel] = readAcceleration(imu);
if ~isempty(accel)
addpoints(z_val,count,accel(:,3));
% Compute FFT of the Z-axis acceleration
fft_z = fft(accel(:,3));
n = length(fft_z);
freq = (0:n-1)*(100/stop_time)/n; % Assuming sampling rate based on stop_time
% Plot the FFT magnitude
subplot(2,1,2);
plot(freq, abs(fft_z));
xlabel(‘Frequency (Hz)’);
ylabel(‘Magnitude’);
title(‘FFT of Z-axis Acceleration’);
drawnow limitrate;

count = count + 1;
end
end from this code what is the problem that i faced because the fft not show

a = arduino;
imu = mpu6050(a);
xlabel(‘Count’);
ylabel(‘Acceleration (m/s^2)’);
title(‘Acceleration values from mpu6050 sensor (Z-axis only)’);
z_val = animatedline(‘Color’,’b’);
axis tight;
legend(‘Acceleration in Z-axis’);
stop_time = 100;
count = 1;
tic;
while(toc <= stop_time)
[accel] = readAcceleration(imu);
if ~isempty(accel)
addpoints(z_val,count,accel(:,3));
% Compute FFT of the Z-axis acceleration
fft_z = fft(accel(:,3));
n = length(fft_z);
freq = (0:n-1)*(100/stop_time)/n; % Assuming sampling rate based on stop_time
% Plot the FFT magnitude
subplot(2,1,2);
plot(freq, abs(fft_z));
xlabel(‘Frequency (Hz)’);
ylabel(‘Magnitude’);
title(‘FFT of Z-axis Acceleration’);
drawnow limitrate;

count = count + 1;
end
end signal processing, mpu6050 MATLAB Answers — New Questions

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How can I use writetable to make a table to excel sheet and .csv file which has multi-line headers. Headers can include both per-variable headers like units and description, but also per-table headers like description or comments.
For example, take a table like below.
T = table(["Blue";"Red";"Green"],[50;100;75],[0.1;0.5;0.9],…
VariableNames={‘Color’,’Weight’,’Temp’});
T.Properties.VariableUnits = ["[-]";"[kg]";"°C"];
T.Properties.VariableDescriptions = ["Outside Color";"Gross Weight";"Melting Point"];
T.Properties.Description = "Playdough Properties Chart";
Now I want to make it look like this in excel and .csv files

I know to do this by other means, but I would like to be able to do it with writetable, and also to read it back in with readtable.
Is there a straight-forward way of doing this?How can I use writetable to make a table to excel sheet and .csv file which has multi-line headers. Headers can include both per-variable headers like units and description, but also per-table headers like description or comments.
For example, take a table like below.
T = table(["Blue";"Red";"Green"],[50;100;75],[0.1;0.5;0.9],…
VariableNames={‘Color’,’Weight’,’Temp’});
T.Properties.VariableUnits = ["[-]";"[kg]";"°C"];
T.Properties.VariableDescriptions = ["Outside Color";"Gross Weight";"Melting Point"];
T.Properties.Description = "Playdough Properties Chart";
Now I want to make it look like this in excel and .csv files

I know to do this by other means, but I would like to be able to do it with writetable, and also to read it back in with readtable.
Is there a straight-forward way of doing this? How can I use writetable to make a table to excel sheet and .csv file which has multi-line headers. Headers can include both per-variable headers like units and description, but also per-table headers like description or comments.
For example, take a table like below.
T = table(["Blue";"Red";"Green"],[50;100;75],[0.1;0.5;0.9],…
VariableNames={‘Color’,’Weight’,’Temp’});
T.Properties.VariableUnits = ["[-]";"[kg]";"°C"];
T.Properties.VariableDescriptions = ["Outside Color";"Gross Weight";"Melting Point"];
T.Properties.Description = "Playdough Properties Chart";
Now I want to make it look like this in excel and .csv files

I know to do this by other means, but I would like to be able to do it with writetable, and also to read it back in with readtable.
Is there a straight-forward way of doing this? tables, csv, excel MATLAB Answers — New Questions

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I have a relatively large Simulink model that I am validating using a data set. This model is using the ECEF 6DOF block with only a gravitational force as the input.
I have observed that the Simulink model output varies considerably depending on the relative tolerance selected (ranging from 1e-5 to 1e-12), with the output approaching the data set values as the relative tolerance passes below 1e-10. Decreasing the relative tolerance has a significant negative impact on model runtime, so I would like to keep the relative tolerance at a reasonable value while maintaining accuracy in the model results.
Is a significant variation with changing relative tolerance (below the obvious candidates such as >= 1e-5) expected for a typical Simulink model?I have a relatively large Simulink model that I am validating using a data set. This model is using the ECEF 6DOF block with only a gravitational force as the input.
I have observed that the Simulink model output varies considerably depending on the relative tolerance selected (ranging from 1e-5 to 1e-12), with the output approaching the data set values as the relative tolerance passes below 1e-10. Decreasing the relative tolerance has a significant negative impact on model runtime, so I would like to keep the relative tolerance at a reasonable value while maintaining accuracy in the model results.
Is a significant variation with changing relative tolerance (below the obvious candidates such as >= 1e-5) expected for a typical Simulink model? I have a relatively large Simulink model that I am validating using a data set. This model is using the ECEF 6DOF block with only a gravitational force as the input.
I have observed that the Simulink model output varies considerably depending on the relative tolerance selected (ranging from 1e-5 to 1e-12), with the output approaching the data set values as the relative tolerance passes below 1e-10. Decreasing the relative tolerance has a significant negative impact on model runtime, so I would like to keep the relative tolerance at a reasonable value while maintaining accuracy in the model results.
Is a significant variation with changing relative tolerance (below the obvious candidates such as >= 1e-5) expected for a typical Simulink model? relative tolerance MATLAB Answers — New Questions

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