It seems that it might be possible to make this loop faster. Does anyone have any thoughts? I have to call a loop like this millions of times in a larger workflow, and it is getting to be the slowest part of the code. I appreciate any insights!
a = 2; % constant
b = 3; % constant
n = 10; % number of elements of outputs c and s
% n could be up to 100

% preallocate and set the initial conditions
c = zeros(n,1);
s = c;
c(1) = 3; % set the initial condition for c
s(1) = 1; % set the initial condition for s

% run the loop
for i = 2:n
c(i) = a*c(i-1) -b*s(i-1);
s(i) = b*c(i-1) + a*s(i-1);
endIt seems that it might be possible to make this loop faster. Does anyone have any thoughts? I have to call a loop like this millions of times in a larger workflow, and it is getting to be the slowest part of the code. I appreciate any insights!
a = 2; % constant
b = 3; % constant
n = 10; % number of elements of outputs c and s
% n could be up to 100

% preallocate and set the initial conditions
c = zeros(n,1);
s = c;
c(1) = 3; % set the initial condition for c
s(1) = 1; % set the initial condition for s

% run the loop
for i = 2:n
c(i) = a*c(i-1) -b*s(i-1);
s(i) = b*c(i-1) + a*s(i-1);
end It seems that it might be possible to make this loop faster. Does anyone have any thoughts? I have to call a loop like this millions of times in a larger workflow, and it is getting to be the slowest part of the code. I appreciate any insights!
a = 2; % constant
b = 3; % constant
n = 10; % number of elements of outputs c and s
% n could be up to 100

% preallocate and set the initial conditions
c = zeros(n,1);
s = c;
c(1) = 3; % set the initial condition for c
s(1) = 1; % set the initial condition for s

% run the loop
for i = 2:n
c(i) = a*c(i-1) -b*s(i-1);
s(i) = b*c(i-1) + a*s(i-1);
end vectorization, for loop, speed MATLAB Answers — New Questions

​

I have a problem reinstalling Matlab2023b, as the error states "invalid email or password" when I try to install R2025a or any other product. Note that my email and password are correct, and I can log in to the MathWorks account. Could you advise me on how to resolve this issue?
thanks lot

Your sincerely
Reda dalilaI have a problem reinstalling Matlab2023b, as the error states "invalid email or password" when I try to install R2025a or any other product. Note that my email and password are correct, and I can log in to the MathWorks account. Could you advise me on how to resolve this issue?
thanks lot

Your sincerely
Reda dalila I have a problem reinstalling Matlab2023b, as the error states "invalid email or password" when I try to install R2025a or any other product. Note that my email and password are correct, and I can log in to the MathWorks account. Could you advise me on how to resolve this issue?
thanks lot

Your sincerely
Reda dalila invalid password or email MATLAB Answers — New Questions

​

Hello, every MATLAB users,

I’m trying to make simple binary classification network
model is designed to check whether the image has certain object or not

input datastore is combined of image datastore and label datastore as shown:
imdsTrain = imageDatastore(trainingDataTbl.imageFileName);
imdsTrain.Labels = trainingDataTbl.existence;
imdsTrain.Labels = categorical(imdsTrain.Labels)
labelsTrain = categorical(trainingDataTbl.existence);
ldsTrain = arrayDatastore(labelsTrain);
cdsTrain = combine(imdsTrain, ldsTrain);
(i know already imdsTrain has label data but i modified to debug the error even it doesn’t matter)
Each labels is one of 2 categories : True, False

Designed network structure is as follows:
fcn = @(X) X(:,:,1);
bClayers = [
imageInputLayer([800 800 3],"Name","imageinput")
functionLayer(fcn, "Name","gray")
convolution2dLayer([5 5],8,"Name","conv","Padding","same")
reluLayer("Name","relu")
maxPooling2dLayer([8 8],"Name","maxpool","Padding","same","Stride",[8 8])
convolution2dLayer([3 3],16,"Name","conv_1","Padding","same")
reluLayer("Name","relu_1")
maxPooling2dLayer([5 5],"Name","maxpool_1","Padding","same","Stride",[5 5])
fullyConnectedLayer(2,"Name","fc")
softmaxLayer("Name","softmax")];

It’s simple CNN structure

I set the options as below:
options = trainingOptions("adam", …
GradientDecayFactor=0.9, …
SquaredGradientDecayFactor=0.999, …
InitialLearnRate=0.001, …
LearnRateSchedule="none", …
MiniBatchSize=1, …
L2Regularization=0.0005, …
MaxEpochs=4, …
BatchNormalizationStatistics="moving", …
DispatchInBackground=false, …
ResetInputNormalization=false, …
Shuffle="every-epoch", …
VerboseFrequency=20, …
CheckpointPath=tempdir);
I set the MiniBatchSize with 1.
Because, I don’t know why but some reason error came up when i execute the trainnet function.
net = trainnet(cdsTrain, bClayers, "crossentropy", options);
the error message is that size of prediction(maybe output of the network) is not same with size of desired value(maybe ground truth label data).
and the desired value size is affected by MiniBatchSize.
I have no idea why this error is occuring.
How Can I Adjust MiniBatchSize or Modify the Code to Run Succesfully??
다음 사용 중 오류가 발생함: validateTrueValues (54번 라인) 예측값 및 목표값의 크기가 일치해야 합니다. 예측값의 크기: 2(C) × 1(B) 목표값의 크기: 2(C) × 16(B)
(This is the Korean error message)

I trained with minibatch size of 1 Anyway.
Another problem happens.
metricValues = testnet(net, cdsTest, "accuracy");
While test the network, Even I make Traindata and Testdata with Same size and same formality,
Code couldn’t run with error message the size between network output and desired value(maybe Test data) should same.
This is korean error message for anyone who can understand:
다음 사용 중 오류가 발생함: testnet (40번 라인)
메트릭 "Accuracy"의 경우 네트워크 출력값과 목표값의 크기가 동일해야 합니다.

How can I fix this code??

I hope anyone could respond my question.

Thank you for reading.Hello, every MATLAB users,

I’m trying to make simple binary classification network
model is designed to check whether the image has certain object or not

input datastore is combined of image datastore and label datastore as shown:
imdsTrain = imageDatastore(trainingDataTbl.imageFileName);
imdsTrain.Labels = trainingDataTbl.existence;
imdsTrain.Labels = categorical(imdsTrain.Labels)
labelsTrain = categorical(trainingDataTbl.existence);
ldsTrain = arrayDatastore(labelsTrain);
cdsTrain = combine(imdsTrain, ldsTrain);
(i know already imdsTrain has label data but i modified to debug the error even it doesn’t matter)
Each labels is one of 2 categories : True, False

Designed network structure is as follows:
fcn = @(X) X(:,:,1);
bClayers = [
imageInputLayer([800 800 3],"Name","imageinput")
functionLayer(fcn, "Name","gray")
convolution2dLayer([5 5],8,"Name","conv","Padding","same")
reluLayer("Name","relu")
maxPooling2dLayer([8 8],"Name","maxpool","Padding","same","Stride",[8 8])
convolution2dLayer([3 3],16,"Name","conv_1","Padding","same")
reluLayer("Name","relu_1")
maxPooling2dLayer([5 5],"Name","maxpool_1","Padding","same","Stride",[5 5])
fullyConnectedLayer(2,"Name","fc")
softmaxLayer("Name","softmax")];

It’s simple CNN structure

I set the options as below:
options = trainingOptions("adam", …
GradientDecayFactor=0.9, …
SquaredGradientDecayFactor=0.999, …
InitialLearnRate=0.001, …
LearnRateSchedule="none", …
MiniBatchSize=1, …
L2Regularization=0.0005, …
MaxEpochs=4, …
BatchNormalizationStatistics="moving", …
DispatchInBackground=false, …
ResetInputNormalization=false, …
Shuffle="every-epoch", …
VerboseFrequency=20, …
CheckpointPath=tempdir);
I set the MiniBatchSize with 1.
Because, I don’t know why but some reason error came up when i execute the trainnet function.
net = trainnet(cdsTrain, bClayers, "crossentropy", options);
the error message is that size of prediction(maybe output of the network) is not same with size of desired value(maybe ground truth label data).
and the desired value size is affected by MiniBatchSize.
I have no idea why this error is occuring.
How Can I Adjust MiniBatchSize or Modify the Code to Run Succesfully??
다음 사용 중 오류가 발생함: validateTrueValues (54번 라인) 예측값 및 목표값의 크기가 일치해야 합니다. 예측값의 크기: 2(C) × 1(B) 목표값의 크기: 2(C) × 16(B)
(This is the Korean error message)

I trained with minibatch size of 1 Anyway.
Another problem happens.
metricValues = testnet(net, cdsTest, "accuracy");
While test the network, Even I make Traindata and Testdata with Same size and same formality,
Code couldn’t run with error message the size between network output and desired value(maybe Test data) should same.
This is korean error message for anyone who can understand:
다음 사용 중 오류가 발생함: testnet (40번 라인)
메트릭 "Accuracy"의 경우 네트워크 출력값과 목표값의 크기가 동일해야 합니다.

How can I fix this code??

I hope anyone could respond my question.

Thank you for reading. Hello, every MATLAB users,

I’m trying to make simple binary classification network
model is designed to check whether the image has certain object or not

input datastore is combined of image datastore and label datastore as shown:
imdsTrain = imageDatastore(trainingDataTbl.imageFileName);
imdsTrain.Labels = trainingDataTbl.existence;
imdsTrain.Labels = categorical(imdsTrain.Labels)
labelsTrain = categorical(trainingDataTbl.existence);
ldsTrain = arrayDatastore(labelsTrain);
cdsTrain = combine(imdsTrain, ldsTrain);
(i know already imdsTrain has label data but i modified to debug the error even it doesn’t matter)
Each labels is one of 2 categories : True, False

Designed network structure is as follows:
fcn = @(X) X(:,:,1);
bClayers = [
imageInputLayer([800 800 3],"Name","imageinput")
functionLayer(fcn, "Name","gray")
convolution2dLayer([5 5],8,"Name","conv","Padding","same")
reluLayer("Name","relu")
maxPooling2dLayer([8 8],"Name","maxpool","Padding","same","Stride",[8 8])
convolution2dLayer([3 3],16,"Name","conv_1","Padding","same")
reluLayer("Name","relu_1")
maxPooling2dLayer([5 5],"Name","maxpool_1","Padding","same","Stride",[5 5])
fullyConnectedLayer(2,"Name","fc")
softmaxLayer("Name","softmax")];

It’s simple CNN structure

I set the options as below:
options = trainingOptions("adam", …
GradientDecayFactor=0.9, …
SquaredGradientDecayFactor=0.999, …
InitialLearnRate=0.001, …
LearnRateSchedule="none", …
MiniBatchSize=1, …
L2Regularization=0.0005, …
MaxEpochs=4, …
BatchNormalizationStatistics="moving", …
DispatchInBackground=false, …
ResetInputNormalization=false, …
Shuffle="every-epoch", …
VerboseFrequency=20, …
CheckpointPath=tempdir);
I set the MiniBatchSize with 1.
Because, I don’t know why but some reason error came up when i execute the trainnet function.
net = trainnet(cdsTrain, bClayers, "crossentropy", options);
the error message is that size of prediction(maybe output of the network) is not same with size of desired value(maybe ground truth label data).
and the desired value size is affected by MiniBatchSize.
I have no idea why this error is occuring.
How Can I Adjust MiniBatchSize or Modify the Code to Run Succesfully??
다음 사용 중 오류가 발생함: validateTrueValues (54번 라인) 예측값 및 목표값의 크기가 일치해야 합니다. 예측값의 크기: 2(C) × 1(B) 목표값의 크기: 2(C) × 16(B)
(This is the Korean error message)

I trained with minibatch size of 1 Anyway.
Another problem happens.
metricValues = testnet(net, cdsTest, "accuracy");
While test the network, Even I make Traindata and Testdata with Same size and same formality,
Code couldn’t run with error message the size between network output and desired value(maybe Test data) should same.
This is korean error message for anyone who can understand:
다음 사용 중 오류가 발생함: testnet (40번 라인)
메트릭 "Accuracy"의 경우 네트워크 출력값과 목표값의 크기가 동일해야 합니다.

How can I fix this code??

I hope anyone could respond my question.

Thank you for reading. binaryclassification, cnn, trainnet, deeplearning, testnet MATLAB Answers — New Questions

​

1. Context
As part of my energy modeling project, I developed a simulation model in Simulink:
A photovoltaic (PV) panel model based on the single-diode approach, accounting for irradiance and temperature effects.
the model generate time-domain outputs under standard test conditions.
2. Objectives
I need to extract the I–V and P–V curves of the PV panel for different environmental conditions:
Irradiance (G): 200, 400, 600, 800, 1000 W/m²
Temperature (T): 0°C, 25°C, 50°C
3. Current model status
The Simulink PV model includes:
Computation of Iph, Irs, I0
Equivalent PV cell circuit
Buck-Boost converter with MPPT and PWM control
Time-based curves: Pin(t), Pout(t)Inputs: Irradiance (G), Temperature (T)However, it does not currently output I–V or P–V curves directly.
4. Issues encountered
No direct I–V and P–V output
No voltage sweep mechanism to generate these curves
No variation tracking across different G and T conditions
5. Request for help
I’d appreciate guidance on how to:
Add a voltage sweep mechanism (controlled voltage source) to the PV model
Automatically extract I–V and P–V curves for different G and T values
Create a simulation script that loops over multiple irradiance and temperature settings
Export the results (ideally to .mat or .csv)
Thank you in advance for any suggestions or shared examples!1. Context
As part of my energy modeling project, I developed a simulation model in Simulink:
A photovoltaic (PV) panel model based on the single-diode approach, accounting for irradiance and temperature effects.
the model generate time-domain outputs under standard test conditions.
2. Objectives
I need to extract the I–V and P–V curves of the PV panel for different environmental conditions:
Irradiance (G): 200, 400, 600, 800, 1000 W/m²
Temperature (T): 0°C, 25°C, 50°C
3. Current model status
The Simulink PV model includes:
Computation of Iph, Irs, I0
Equivalent PV cell circuit
Buck-Boost converter with MPPT and PWM control
Time-based curves: Pin(t), Pout(t)Inputs: Irradiance (G), Temperature (T)However, it does not currently output I–V or P–V curves directly.
4. Issues encountered
No direct I–V and P–V output
No voltage sweep mechanism to generate these curves
No variation tracking across different G and T conditions
5. Request for help
I’d appreciate guidance on how to:
Add a voltage sweep mechanism (controlled voltage source) to the PV model
Automatically extract I–V and P–V curves for different G and T values
Create a simulation script that loops over multiple irradiance and temperature settings
Export the results (ideally to .mat or .csv)
Thank you in advance for any suggestions or shared examples! 1. Context
As part of my energy modeling project, I developed a simulation model in Simulink:
A photovoltaic (PV) panel model based on the single-diode approach, accounting for irradiance and temperature effects.
the model generate time-domain outputs under standard test conditions.
2. Objectives
I need to extract the I–V and P–V curves of the PV panel for different environmental conditions:
Irradiance (G): 200, 400, 600, 800, 1000 W/m²
Temperature (T): 0°C, 25°C, 50°C
3. Current model status
The Simulink PV model includes:
Computation of Iph, Irs, I0
Equivalent PV cell circuit
Buck-Boost converter with MPPT and PWM control
Time-based curves: Pin(t), Pout(t)Inputs: Irradiance (G), Temperature (T)However, it does not currently output I–V or P–V curves directly.
4. Issues encountered
No direct I–V and P–V output
No voltage sweep mechanism to generate these curves
No variation tracking across different G and T conditions
5. Request for help
I’d appreciate guidance on how to:
Add a voltage sweep mechanism (controlled voltage source) to the PV model
Automatically extract I–V and P–V curves for different G and T values
Create a simulation script that loops over multiple irradiance and temperature settings
Export the results (ideally to .mat or .csv)
Thank you in advance for any suggestions or shared examples! photovoltaic panel, current, voltage, power, scope MATLAB Answers — New Questions

​

Dear MathWorks Support Team,
I am reaching out to request your assistance with an issue we are facing during the implementation of a controller model using the C2000 Blockset. As advised by Speedgoat support, this problem appears to be related to the C2000 Blockset, and they have recommended that we consult you directly.
Project Setup Overview:
We are working with two models:
Plant model – implemented on the Speedgoat FPGA
Controller model – implemented on a LaunchPad development kit (https://www.speedgoat.com/products/launchpad-development-kit) (TI LaunchXL-F28379D)
The two systems communicate via analog signals using the IO334 interface.
We have successfully confirmed the following:
The plant model is transmitting correct signals to the LaunchPad, verified using an oscilloscope via SMA connectors on the LaunchPad.
The LaunchPad receives the input signals correctly.
The plant model is also responding correctly when tested with a signal generator.
Issue Description:
The controller model builds, deploys, and starts successfully on the LaunchPad. However, when we attempt to use Monitor & Tune (external mode), we encounter the following error:
"External Mode Open Protocol Connect command failed: Could not connect to target application. XCP internal error: timeout expired."
We have attached relevant screenshots and the build report for your review.
Setup Details:
The LaunchPad is connected to the PC via USB.
It is also connected to the Speedgoat system via the SAMTEC connector.
We have used the blocks recommended in the documentation for the LaunchPad.
We would greatly appreciate your help in identifying the cause of this issue and guiding us through any additional steps or configurations needed to enable external mode communication.
Thank you very much for your support.
Best regards,
Varun ShahiDear MathWorks Support Team,
I am reaching out to request your assistance with an issue we are facing during the implementation of a controller model using the C2000 Blockset. As advised by Speedgoat support, this problem appears to be related to the C2000 Blockset, and they have recommended that we consult you directly.
Project Setup Overview:
We are working with two models:
Plant model – implemented on the Speedgoat FPGA
Controller model – implemented on a LaunchPad development kit (https://www.speedgoat.com/products/launchpad-development-kit) (TI LaunchXL-F28379D)
The two systems communicate via analog signals using the IO334 interface.
We have successfully confirmed the following:
The plant model is transmitting correct signals to the LaunchPad, verified using an oscilloscope via SMA connectors on the LaunchPad.
The LaunchPad receives the input signals correctly.
The plant model is also responding correctly when tested with a signal generator.
Issue Description:
The controller model builds, deploys, and starts successfully on the LaunchPad. However, when we attempt to use Monitor & Tune (external mode), we encounter the following error:
"External Mode Open Protocol Connect command failed: Could not connect to target application. XCP internal error: timeout expired."
We have attached relevant screenshots and the build report for your review.
Setup Details:
The LaunchPad is connected to the PC via USB.
It is also connected to the Speedgoat system via the SAMTEC connector.
We have used the blocks recommended in the documentation for the LaunchPad.
We would greatly appreciate your help in identifying the cause of this issue and guiding us through any additional steps or configurations needed to enable external mode communication.
Thank you very much for your support.
Best regards,
Varun Shahi Dear MathWorks Support Team,
I am reaching out to request your assistance with an issue we are facing during the implementation of a controller model using the C2000 Blockset. As advised by Speedgoat support, this problem appears to be related to the C2000 Blockset, and they have recommended that we consult you directly.
Project Setup Overview:
We are working with two models:
Plant model – implemented on the Speedgoat FPGA
Controller model – implemented on a LaunchPad development kit (https://www.speedgoat.com/products/launchpad-development-kit) (TI LaunchXL-F28379D)
The two systems communicate via analog signals using the IO334 interface.
We have successfully confirmed the following:
The plant model is transmitting correct signals to the LaunchPad, verified using an oscilloscope via SMA connectors on the LaunchPad.
The LaunchPad receives the input signals correctly.
The plant model is also responding correctly when tested with a signal generator.
Issue Description:
The controller model builds, deploys, and starts successfully on the LaunchPad. However, when we attempt to use Monitor & Tune (external mode), we encounter the following error:
"External Mode Open Protocol Connect command failed: Could not connect to target application. XCP internal error: timeout expired."
We have attached relevant screenshots and the build report for your review.
Setup Details:
The LaunchPad is connected to the PC via USB.
It is also connected to the Speedgoat system via the SAMTEC connector.
We have used the blocks recommended in the documentation for the LaunchPad.
We would greatly appreciate your help in identifying the cause of this issue and guiding us through any additional steps or configurations needed to enable external mode communication.
Thank you very much for your support.
Best regards,
Varun Shahi c2000 blockset issue MATLAB Answers — New Questions

​

Hi everybody.
I bought a new computer and I want to transfer the MATLAB history I had on the old one. The new computer has MATLAB 2025a installed, while the old one has MATLAB 2024b.
I already transfer histories in the past and it was as simple as copy and paste the History.xml from a computer to another. However, with MATLAB 2025a, history is no longer saved in the History.xml. How can I transfer the command history from the old computer (and MATLAB 2024b) to the new one with MATLAB 2025a?Hi everybody.
I bought a new computer and I want to transfer the MATLAB history I had on the old one. The new computer has MATLAB 2025a installed, while the old one has MATLAB 2024b.
I already transfer histories in the past and it was as simple as copy and paste the History.xml from a computer to another. However, with MATLAB 2025a, history is no longer saved in the History.xml. How can I transfer the command history from the old computer (and MATLAB 2024b) to the new one with MATLAB 2025a? Hi everybody.
I bought a new computer and I want to transfer the MATLAB history I had on the old one. The new computer has MATLAB 2025a installed, while the old one has MATLAB 2024b.
I already transfer histories in the past and it was as simple as copy and paste the History.xml from a computer to another. However, with MATLAB 2025a, history is no longer saved in the History.xml. How can I transfer the command history from the old computer (and MATLAB 2024b) to the new one with MATLAB 2025a? matlab MATLAB Answers — New Questions

​

I need help creating a function for an s curve ramp. The code below will create the inserted picture below. However, this code only works for a constant ramp block (connected to x). This code from the piecewise function on the Matlab smf() help file page.
I need two additional inputs (acceleration rate and jerk rate). The output should ramp the input velocity (x) signal based on the acceleration rate (a), and jerk rate (j). I need the block or code to be dynamic. I do not want to put a time value inside of my code. I will be exporting the code to structure text and input the code into a Siemens PLC.
I don’t want to include a fixed dt in my code because I will be running the code in a PLC. Maybe it would be better to design this function in simulink and set a fixed time solver and use integrator blocks?
x = 0:0.01:10; % domain
a = 1; % unsaturated interval’s left endpoint
b = 8; % unsaturated interval’s right endpoint
y = smf(x, a, b);

plot(x, y), grid on
xline(a, ‘–‘)
xline(b, ‘–‘)
title("S-curve piecewise function")
xlabel("x")
ylabel("Amplitude")
ylim([-0.05 1.05])

%% S-curve piecewise function
function y = smf(x, a, b)
m = (a + b)/2;
y = (x > a & x <= m) .* ( 2*((x-a)/(b-a)).^2) + …
(x > m & x <= b) .* (1-2*((x-b)/(b-a)).^2) + …
(x > b);
endI need help creating a function for an s curve ramp. The code below will create the inserted picture below. However, this code only works for a constant ramp block (connected to x). This code from the piecewise function on the Matlab smf() help file page.
I need two additional inputs (acceleration rate and jerk rate). The output should ramp the input velocity (x) signal based on the acceleration rate (a), and jerk rate (j). I need the block or code to be dynamic. I do not want to put a time value inside of my code. I will be exporting the code to structure text and input the code into a Siemens PLC.
I don’t want to include a fixed dt in my code because I will be running the code in a PLC. Maybe it would be better to design this function in simulink and set a fixed time solver and use integrator blocks?
x = 0:0.01:10; % domain
a = 1; % unsaturated interval’s left endpoint
b = 8; % unsaturated interval’s right endpoint
y = smf(x, a, b);

plot(x, y), grid on
xline(a, ‘–‘)
xline(b, ‘–‘)
title("S-curve piecewise function")
xlabel("x")
ylabel("Amplitude")
ylim([-0.05 1.05])

%% S-curve piecewise function
function y = smf(x, a, b)
m = (a + b)/2;
y = (x > a & x <= m) .* ( 2*((x-a)/(b-a)).^2) + …
(x > m & x <= b) .* (1-2*((x-b)/(b-a)).^2) + …
(x > b);
end I need help creating a function for an s curve ramp. The code below will create the inserted picture below. However, this code only works for a constant ramp block (connected to x). This code from the piecewise function on the Matlab smf() help file page.
I need two additional inputs (acceleration rate and jerk rate). The output should ramp the input velocity (x) signal based on the acceleration rate (a), and jerk rate (j). I need the block or code to be dynamic. I do not want to put a time value inside of my code. I will be exporting the code to structure text and input the code into a Siemens PLC.
I don’t want to include a fixed dt in my code because I will be running the code in a PLC. Maybe it would be better to design this function in simulink and set a fixed time solver and use integrator blocks?
x = 0:0.01:10; % domain
a = 1; % unsaturated interval’s left endpoint
b = 8; % unsaturated interval’s right endpoint
y = smf(x, a, b);

plot(x, y), grid on
xline(a, ‘–‘)
xline(b, ‘–‘)
title("S-curve piecewise function")
xlabel("x")
ylabel("Amplitude")
ylim([-0.05 1.05])

%% S-curve piecewise function
function y = smf(x, a, b)
m = (a + b)/2;
y = (x > a & x <= m) .* ( 2*((x-a)/(b-a)).^2) + …
(x > m & x <= b) .* (1-2*((x-b)/(b-a)).^2) + …
(x > b);
end s curve MATLAB Answers — New Questions

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Hi everyone,
I am a matlab beginner. How can I find the constants of integral C1 and C2 ?
For example i know that, how can i find constants of integral C1 and C2 in this script? Thanks 🙂
syms x
y1 = exp(-2*x+sqrt(6)*x);
y2 = exp(-2*x-sqrt(6)*x);
g = 2*x^2-3*x+6;
A = [y1 y2;diff(y1,x) diff(y2,x)]
b = [0; g]
Ab
u = simplify(Ab)
u = int(u,x)
simplify(u)Hi everyone,
I am a matlab beginner. How can I find the constants of integral C1 and C2 ?
For example i know that, how can i find constants of integral C1 and C2 in this script? Thanks 🙂
syms x
y1 = exp(-2*x+sqrt(6)*x);
y2 = exp(-2*x-sqrt(6)*x);
g = 2*x^2-3*x+6;
A = [y1 y2;diff(y1,x) diff(y2,x)]
b = [0; g]
Ab
u = simplify(Ab)
u = int(u,x)
simplify(u) Hi everyone,
I am a matlab beginner. How can I find the constants of integral C1 and C2 ?
For example i know that, how can i find constants of integral C1 and C2 in this script? Thanks 🙂
syms x
y1 = exp(-2*x+sqrt(6)*x);
y2 = exp(-2*x-sqrt(6)*x);
g = 2*x^2-3*x+6;
A = [y1 y2;diff(y1,x) diff(y2,x)]
b = [0; g]
Ab
u = simplify(Ab)
u = int(u,x)
simplify(u) integral, constants of integral MATLAB Answers — New Questions

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How do I solve this coupled second order differential equation.

Errors:

Right now it uses ode45 to solve it but I have tried every model, added the memory block, changed the initial conditions to be smaller, changed the max step size and relative errors but nothing works.How do I solve this coupled second order differential equation.

Errors:

Right now it uses ode45 to solve it but I have tried every model, added the memory block, changed the initial conditions to be smaller, changed the max step size and relative errors but nothing works. How do I solve this coupled second order differential equation.

Errors:

Right now it uses ode45 to solve it but I have tried every model, added the memory block, changed the initial conditions to be smaller, changed the max step size and relative errors but nothing works. stepsize, ode45, ode, differential equations, simulink, matlab MATLAB Answers — New Questions

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I’m trying to use some .NET assemblies from MATLAB but I am encountering a MATLAB System Error.

I was wondering if there is some additional debug logs I can turn on to see the details of the system error to determine what in my .NET assembly might be causing the crash.I’m trying to use some .NET assemblies from MATLAB but I am encountering a MATLAB System Error.

I was wondering if there is some additional debug logs I can turn on to see the details of the system error to determine what in my .NET assembly might be causing the crash. I’m trying to use some .NET assemblies from MATLAB but I am encountering a MATLAB System Error.

I was wondering if there is some additional debug logs I can turn on to see the details of the system error to determine what in my .NET assembly might be causing the crash.  MATLAB Answers — New Questions

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