How can i write a code to simulate these equations ? These equations are related to an electric circuit .and i want to solve it in time domain.How can i write a code to simulate these equations ? These equations are related to an electric circuit .and i want to solve it in time domain. How can i write a code to simulate these equations ? These equations are related to an electric circuit .and i want to solve it in time domain. time domain MATLAB Answers — New Questions

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Post Content Post Content pole-zero placement MATLAB Answers — New Questions

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I want a way of setting the value of a slider to zero when it is ctrl + clicked.
Is there a way of picking up the ctrl press in the slider_changed event?I want a way of setting the value of a slider to zero when it is ctrl + clicked.
Is there a way of picking up the ctrl press in the slider_changed event? I want a way of setting the value of a slider to zero when it is ctrl + clicked.
Is there a way of picking up the ctrl press in the slider_changed event? slider, ctrl+, event MATLAB Answers — New Questions

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Hi all,
I am trying to solve a system of equation for the variable delx. The solution is [T1 T2 T3 T4 T5]. delx appears in the equations and I have T1 as a given. Fsolve seems not the best option. How can I obtain the value of delx?
I intend to vary the values of w,t and delx as a paramtric syudy to find the smallest size (can you please give me tips on that? the code is as follow:

qf = 38.6;
T(1) = 25;
e=0.95;
s=5.67e-8;
K=300;
t=0.12;
w=3;
fun = @(T) [
qf – K*w*t/delx*(T(1)-T(2)) – 2*e*w*delx*s*T(1)^4;
K*w*t/delx*(T(1)-T(2)) – K*w*t/delx*(T(2)-T(3)) – 2*e*w*delx*s*T(2)^4;
K*w*t/delx*(T(2)-T(3)) – K*w*t/delx*(T(3)-T(4)) – 2*e*w*delx*s*T(3)^4;
K*w*t/delx*(T(3)-T(4)) – K*w*t/delx*(T(4)-T(5)) – 2*e*w*delx*s*T(4)^4;
K*w*t/delx*(T(4)-T(5)) – s*e*w*t*T(5)^4 – e*s*w*delx*T(5)^4;
];

% Initial guess for the solution
T0 = [25; 75; 70; 65; 60];

T = fsolve(fun, T0);Hi all,
I am trying to solve a system of equation for the variable delx. The solution is [T1 T2 T3 T4 T5]. delx appears in the equations and I have T1 as a given. Fsolve seems not the best option. How can I obtain the value of delx?
I intend to vary the values of w,t and delx as a paramtric syudy to find the smallest size (can you please give me tips on that? the code is as follow:

qf = 38.6;
T(1) = 25;
e=0.95;
s=5.67e-8;
K=300;
t=0.12;
w=3;
fun = @(T) [
qf – K*w*t/delx*(T(1)-T(2)) – 2*e*w*delx*s*T(1)^4;
K*w*t/delx*(T(1)-T(2)) – K*w*t/delx*(T(2)-T(3)) – 2*e*w*delx*s*T(2)^4;
K*w*t/delx*(T(2)-T(3)) – K*w*t/delx*(T(3)-T(4)) – 2*e*w*delx*s*T(3)^4;
K*w*t/delx*(T(3)-T(4)) – K*w*t/delx*(T(4)-T(5)) – 2*e*w*delx*s*T(4)^4;
K*w*t/delx*(T(4)-T(5)) – s*e*w*t*T(5)^4 – e*s*w*delx*T(5)^4;
];

% Initial guess for the solution
T0 = [25; 75; 70; 65; 60];

T = fsolve(fun, T0); Hi all,
I am trying to solve a system of equation for the variable delx. The solution is [T1 T2 T3 T4 T5]. delx appears in the equations and I have T1 as a given. Fsolve seems not the best option. How can I obtain the value of delx?
I intend to vary the values of w,t and delx as a paramtric syudy to find the smallest size (can you please give me tips on that? the code is as follow:

qf = 38.6;
T(1) = 25;
e=0.95;
s=5.67e-8;
K=300;
t=0.12;
w=3;
fun = @(T) [
qf – K*w*t/delx*(T(1)-T(2)) – 2*e*w*delx*s*T(1)^4;
K*w*t/delx*(T(1)-T(2)) – K*w*t/delx*(T(2)-T(3)) – 2*e*w*delx*s*T(2)^4;
K*w*t/delx*(T(2)-T(3)) – K*w*t/delx*(T(3)-T(4)) – 2*e*w*delx*s*T(3)^4;
K*w*t/delx*(T(3)-T(4)) – K*w*t/delx*(T(4)-T(5)) – 2*e*w*delx*s*T(4)^4;
K*w*t/delx*(T(4)-T(5)) – s*e*w*t*T(5)^4 – e*s*w*delx*T(5)^4;
];

% Initial guess for the solution
T0 = [25; 75; 70; 65; 60];

T = fsolve(fun, T0); matlab MATLAB Answers — New Questions

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I’m currently trying to simulate a simple case of wave propagation in free space before adding in more complexities, and already I’m stumped. Most examples I see online set the Courant stability condition to 1, i.e. the wave travels 1 spatial step in 1 time step. However, I set mine to 2 with the intention of increasing it further should I require more resolution.
Problem: My source is a unity amplitude sine wave (in exponential form), and when I plot it the amplitude is around 2 with increasing ringing with increasing distance.
I’m using these slides as my reference (https://empossible.net/wp-content/uploads/2020/01/Lecture-Formulation-of-1D-FDTD.pdf). The relevant slides are on p.12 and 20.

c0=299792458; %speed of light
u0 = 1.256637e-6;
e0 = 8.85418782e-12;
n1 = 1.; er1=n1^2; %refractive index and relative permittivity

fmax = 1e6; %frequency
lambda_min = c0/(fmax*n2); %minimum wavelength
z_step = lambda_min/(100); %step size in space
t_step = z_step/(2*c0); %Courant stability condition

t_total = t_step*4000; %total runtime
T = t_total/t_step; %total number of timesteps
Z = 400; %total number of spatial steps
Zarray = linspace(1,Z,Z);

Hx = zeros(Z,1); Ey = zeros(Z,1);
C_Ey = ones(Z,1).*c0*t_step/z_step/er1;
C_Hx = ones(Z,1).*c0*t_step/z_step;
H1=0;H2=0;E1=0;E2=0;

for t_count = 1:T
disp(t_count)

H2=H1; H1=Hx(1);
for z_count = 1:Z-1
Hx(z_count) = Hx(z_count) + C_Hx(z_count)*(Ey(z_count+1)-Ey(z_count));
end
Hx(Z) = Hx(Z) + C_Hx(Z)*(E1-Ey(Z));

E2=E1; E1=Ey(Z);
Ey(1) = Ey(1) + C_Ey(1)*(Hx(1)-H1);
for z_count = 2:Z
Ey(z_count) = Ey(z_count) + C_Ey(z_count)*(Hx(z_count)-Hx(z_count-1));
end

Ey(50) = Ey(50)+exp(1i*2*pi*fmax*t_count*t_step); %soft source

plot(Zarray,real(Ey))
drawnow
endI’m currently trying to simulate a simple case of wave propagation in free space before adding in more complexities, and already I’m stumped. Most examples I see online set the Courant stability condition to 1, i.e. the wave travels 1 spatial step in 1 time step. However, I set mine to 2 with the intention of increasing it further should I require more resolution.
Problem: My source is a unity amplitude sine wave (in exponential form), and when I plot it the amplitude is around 2 with increasing ringing with increasing distance.
I’m using these slides as my reference (https://empossible.net/wp-content/uploads/2020/01/Lecture-Formulation-of-1D-FDTD.pdf). The relevant slides are on p.12 and 20.

c0=299792458; %speed of light
u0 = 1.256637e-6;
e0 = 8.85418782e-12;
n1 = 1.; er1=n1^2; %refractive index and relative permittivity

fmax = 1e6; %frequency
lambda_min = c0/(fmax*n2); %minimum wavelength
z_step = lambda_min/(100); %step size in space
t_step = z_step/(2*c0); %Courant stability condition

t_total = t_step*4000; %total runtime
T = t_total/t_step; %total number of timesteps
Z = 400; %total number of spatial steps
Zarray = linspace(1,Z,Z);

Hx = zeros(Z,1); Ey = zeros(Z,1);
C_Ey = ones(Z,1).*c0*t_step/z_step/er1;
C_Hx = ones(Z,1).*c0*t_step/z_step;
H1=0;H2=0;E1=0;E2=0;

for t_count = 1:T
disp(t_count)

H2=H1; H1=Hx(1);
for z_count = 1:Z-1
Hx(z_count) = Hx(z_count) + C_Hx(z_count)*(Ey(z_count+1)-Ey(z_count));
end
Hx(Z) = Hx(Z) + C_Hx(Z)*(E1-Ey(Z));

E2=E1; E1=Ey(Z);
Ey(1) = Ey(1) + C_Ey(1)*(Hx(1)-H1);
for z_count = 2:Z
Ey(z_count) = Ey(z_count) + C_Ey(z_count)*(Hx(z_count)-Hx(z_count-1));
end

Ey(50) = Ey(50)+exp(1i*2*pi*fmax*t_count*t_step); %soft source

plot(Zarray,real(Ey))
drawnow
end I’m currently trying to simulate a simple case of wave propagation in free space before adding in more complexities, and already I’m stumped. Most examples I see online set the Courant stability condition to 1, i.e. the wave travels 1 spatial step in 1 time step. However, I set mine to 2 with the intention of increasing it further should I require more resolution.
Problem: My source is a unity amplitude sine wave (in exponential form), and when I plot it the amplitude is around 2 with increasing ringing with increasing distance.
I’m using these slides as my reference (https://empossible.net/wp-content/uploads/2020/01/Lecture-Formulation-of-1D-FDTD.pdf). The relevant slides are on p.12 and 20.

c0=299792458; %speed of light
u0 = 1.256637e-6;
e0 = 8.85418782e-12;
n1 = 1.; er1=n1^2; %refractive index and relative permittivity

fmax = 1e6; %frequency
lambda_min = c0/(fmax*n2); %minimum wavelength
z_step = lambda_min/(100); %step size in space
t_step = z_step/(2*c0); %Courant stability condition

t_total = t_step*4000; %total runtime
T = t_total/t_step; %total number of timesteps
Z = 400; %total number of spatial steps
Zarray = linspace(1,Z,Z);

Hx = zeros(Z,1); Ey = zeros(Z,1);
C_Ey = ones(Z,1).*c0*t_step/z_step/er1;
C_Hx = ones(Z,1).*c0*t_step/z_step;
H1=0;H2=0;E1=0;E2=0;

for t_count = 1:T
disp(t_count)

H2=H1; H1=Hx(1);
for z_count = 1:Z-1
Hx(z_count) = Hx(z_count) + C_Hx(z_count)*(Ey(z_count+1)-Ey(z_count));
end
Hx(Z) = Hx(Z) + C_Hx(Z)*(E1-Ey(Z));

E2=E1; E1=Ey(Z);
Ey(1) = Ey(1) + C_Ey(1)*(Hx(1)-H1);
for z_count = 2:Z
Ey(z_count) = Ey(z_count) + C_Ey(z_count)*(Hx(z_count)-Hx(z_count-1));
end

Ey(50) = Ey(50)+exp(1i*2*pi*fmax*t_count*t_step); %soft source

plot(Zarray,real(Ey))
drawnow
end fdtd, simulation MATLAB Answers — New Questions

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I am trying to simulate a robotic cell with multiple robots doing a pick and place task. I have been able to display the robot station in Sim3d but have not been able to move these robot arms to wanted waypoints. Would I be using Matlab or Simulink to do this? How would I be able to do this?I am trying to simulate a robotic cell with multiple robots doing a pick and place task. I have been able to display the robot station in Sim3d but have not been able to move these robot arms to wanted waypoints. Would I be using Matlab or Simulink to do this? How would I be able to do this? I am trying to simulate a robotic cell with multiple robots doing a pick and place task. I have been able to display the robot station in Sim3d but have not been able to move these robot arms to wanted waypoints. Would I be using Matlab or Simulink to do this? How would I be able to do this? sim3d, matlab MATLAB Answers — New Questions

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Hi all, I already trained a LSTM network and use it to classify the testset. However, the outputs are different when I input the testset samples one by one through for loop and input it as an array. Below is the code:
% Xtest is a 81-1 vector.
% case1: one by one input through for loop
for i = 1:81
testPred_single(i) = classify(LSTM_net,Xtest(i),’SequenceLength’,’longest’);
end

% case2: array input
testPred=classify(LSTM_net,Xtest,’SequenceLength’,’longest’);
Below is the part element of the output variables testPred_single and testPred.

Could anyone explain what causes the gap between this two output variables? Thanks.Hi all, I already trained a LSTM network and use it to classify the testset. However, the outputs are different when I input the testset samples one by one through for loop and input it as an array. Below is the code:
% Xtest is a 81-1 vector.
% case1: one by one input through for loop
for i = 1:81
testPred_single(i) = classify(LSTM_net,Xtest(i),’SequenceLength’,’longest’);
end

% case2: array input
testPred=classify(LSTM_net,Xtest,’SequenceLength’,’longest’);
Below is the part element of the output variables testPred_single and testPred.

Could anyone explain what causes the gap between this two output variables? Thanks. Hi all, I already trained a LSTM network and use it to classify the testset. However, the outputs are different when I input the testset samples one by one through for loop and input it as an array. Below is the code:
% Xtest is a 81-1 vector.
% case1: one by one input through for loop
for i = 1:81
testPred_single(i) = classify(LSTM_net,Xtest(i),’SequenceLength’,’longest’);
end

% case2: array input
testPred=classify(LSTM_net,Xtest,’SequenceLength’,’longest’);
Below is the part element of the output variables testPred_single and testPred.

Could anyone explain what causes the gap between this two output variables? Thanks. network output, classification, time series MATLAB Answers — New Questions

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Hello,
This might sound like a simple question, but how do I change the y-values of the histograms in the figure below (bottom panels)? Both the left and right histograms have bins with only 2 or 3 y-values, meaning they are binned. How can I adjust this?
The code is simply:
histogram(-xuncL(:,2), ‘BinWidth’, BWidth, ‘Normalization’, ‘Probability’, ‘Facecolor’, ‘c’)
Thank you!Hello,
This might sound like a simple question, but how do I change the y-values of the histograms in the figure below (bottom panels)? Both the left and right histograms have bins with only 2 or 3 y-values, meaning they are binned. How can I adjust this?
The code is simply:
histogram(-xuncL(:,2), ‘BinWidth’, BWidth, ‘Normalization’, ‘Probability’, ‘Facecolor’, ‘c’)
Thank you! Hello,
This might sound like a simple question, but how do I change the y-values of the histograms in the figure below (bottom panels)? Both the left and right histograms have bins with only 2 or 3 y-values, meaning they are binned. How can I adjust this?
The code is simply:
histogram(-xuncL(:,2), ‘BinWidth’, BWidth, ‘Normalization’, ‘Probability’, ‘Facecolor’, ‘c’)
Thank you! histogram MATLAB Answers — New Questions

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Simulink references a protected Model through a model block. How do I obtain the interface name information of the protected model?Simulink references a protected Model through a model block. How do I obtain the interface name information of the protected model? Simulink references a protected Model through a model block. How do I obtain the interface name information of the protected model? protect model MATLAB Answers — New Questions

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I’m quite new to machine learning. I’ve only taken one ML class, but I’m hoping to expand on what we did there, which was mainly different ways to cluster data. I’ve mainly tried the built-in clustering methods so far.
I came across this article: https://www3.ntu.edu.sg/home/EXDJiang/spl20.pdf
And I wanted to try clustering with a VAE. From what I understand from the paper, a clustering method is going to be applied to the latent dimensions? I’ve looked at the VAE examples in MATLAB, but they all deal with image data and recreating images. Plus, the latent dimensions weren’t explicitly accessed there.
Am I going in the wrong direction with this idea? Are there more suited neural architectures for clustering?
Thank you in advance, and sorry if this is a vague and terrible question.I’m quite new to machine learning. I’ve only taken one ML class, but I’m hoping to expand on what we did there, which was mainly different ways to cluster data. I’ve mainly tried the built-in clustering methods so far.
I came across this article: https://www3.ntu.edu.sg/home/EXDJiang/spl20.pdf
And I wanted to try clustering with a VAE. From what I understand from the paper, a clustering method is going to be applied to the latent dimensions? I’ve looked at the VAE examples in MATLAB, but they all deal with image data and recreating images. Plus, the latent dimensions weren’t explicitly accessed there.
Am I going in the wrong direction with this idea? Are there more suited neural architectures for clustering?
Thank you in advance, and sorry if this is a vague and terrible question. I’m quite new to machine learning. I’ve only taken one ML class, but I’m hoping to expand on what we did there, which was mainly different ways to cluster data. I’ve mainly tried the built-in clustering methods so far.
I came across this article: https://www3.ntu.edu.sg/home/EXDJiang/spl20.pdf
And I wanted to try clustering with a VAE. From what I understand from the paper, a clustering method is going to be applied to the latent dimensions? I’ve looked at the VAE examples in MATLAB, but they all deal with image data and recreating images. Plus, the latent dimensions weren’t explicitly accessed there.
Am I going in the wrong direction with this idea? Are there more suited neural architectures for clustering?
Thank you in advance, and sorry if this is a vague and terrible question. data clustering, ml, machine learning MATLAB Answers — New Questions

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