Hello !
I am trying to simulate a micgrogrid in which 3 pv inverters connected in parallel. Aim is to detect the island operation and to study the performance of parallel inverters. I want to make transition smooth from grid forming to grid feeding or vice versa, making a suitable control strategy and then want to improve the power quality of such microgrid. I need help in accurate simulation. Lookig for kindness in this regard if someone has worked on this problem. Pls contact me on ghh559953@gmail.comHello !
I am trying to simulate a micgrogrid in which 3 pv inverters connected in parallel. Aim is to detect the island operation and to study the performance of parallel inverters. I want to make transition smooth from grid forming to grid feeding or vice versa, making a suitable control strategy and then want to improve the power quality of such microgrid. I need help in accurate simulation. Lookig for kindness in this regard if someone has worked on this problem. Pls contact me on ghh559953@gmail.com Hello !
I am trying to simulate a micgrogrid in which 3 pv inverters connected in parallel. Aim is to detect the island operation and to study the performance of parallel inverters. I want to make transition smooth from grid forming to grid feeding or vice versa, making a suitable control strategy and then want to improve the power quality of such microgrid. I need help in accurate simulation. Lookig for kindness in this regard if someone has worked on this problem. Pls contact me on ghh559953@gmail.com all MATLAB Answers — New Questions

​

Hello,
Is it possible to link a requirement to a verify statement from a test sequence block?
Tnx much for support!
DianaHello,
Is it possible to link a requirement to a verify statement from a test sequence block?
Tnx much for support!
Diana Hello,
Is it possible to link a requirement to a verify statement from a test sequence block?
Tnx much for support!
Diana simulink test, simulink coverage MATLAB Answers — New Questions

​

Dear all
I am plotting the following:
u1=figure(‘visible’,’off’,’units’,’pixels’,’position’,[0 0 1920 1080]);
t=tiledlayout(2,2,’Padding’,’compact’);
title(t,[‘Bilayer. Monte Carlo, $15$ million steps. $T=2$ K, $mathbf{H}=0$’;”;”],’FontSize’,18,’interpreter’,’latex’);
ax1=nexttile;
uimagesc(space_x,space_y,mx);
axis xy;
clim([-round(max([abs(max(max(mx))) abs(min(min(mx)))]),2) round(max([abs(max(max(mx))) abs(min(min(mx)))]),2)]);
colormap(ax1,bluewhitered(256));
box on;
clr1=colorbar(‘YTick’,[-round(max([abs(max(max(mx))) abs(min(min(mx)))]),2) -round(max([abs(max(max(mx))) abs(min(min(mx)))])/2,2) 0 round(max([abs(max(max(mx))) abs(min(min(mx)))])/2,2) round(max([abs(max(max(mx))) abs(min(min(mx)))]),2)]);
set(clr1,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr1,’$a$-{it th} magnetization component, $m_a$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax2=nexttile;
uimagesc(space_x,space_y,my);
clim([-max([abs(max(max(my))) abs(min(min(my)))]) max([abs(max(max(my))) abs(min(min(my)))])]);
colormap(ax2,bluewhitered(256));
axis xy;
box on;
clr2=colorbar(‘YTick’,[-max([abs(max(max(my))) abs(min(min(my)))]) -max([abs(max(max(my))) abs(min(min(my)))])/2 0 max([abs(max(max(my))) abs(min(min(my)))])/2 max([abs(max(max(my))) abs(min(min(my)))])]);
set(clr2,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr2,’$b$-{it th} magnetization component, $m_b$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax3=nexttile;
uimagesc(space_x,space_y,mz);
box on;
axis xy;
clim([-max([abs(max(max(mz))) abs(min(min(mz)))]) max([abs(max(max(mz))) abs(min(min(mz)))])]);
colormap(ax3,bluewhitered(256));
clr3=colorbar(‘YTick’,[-max([abs(max(max(mz))) abs(min(min(mz)))]) -max([abs(max(max(mz))) abs(min(min(mz)))])/2 0 max([abs(max(max(mz))) abs(min(min(mz)))])/2 max([abs(max(max(mz))) abs(min(min(mz)))])]);
set(clr3,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr3,’$z$-{it th} magnetization component, $m_z$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax4=nexttile;
uimagesc(space_x,space_y,total_magnetization);
box on;
axis xy;
clim([0 max(max(total_magnetization))]);
colormap(ax4,cmap);
clr4=colorbar(‘YTick’,[0 max(max(total_magnetization))/5 2*max(max(total_magnetization))/5 3*max(max(total_magnetization))/5 4*max(max(total_magnetization))/5 max(max(total_magnetization))]);
set(clr4,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr4,’Magnetization vector modulus, $left| mathbf{m} right|$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
set(gcf,’color’,’white’);
set(gca,’Units’,’normalized’);
set(u1,’Units’,’Inches’);
posu1=get(u1,’Position’);
set(u1,’PaperPositionMode’,’Auto’,’PaperUnits’,’Inches’,’PaperSize’,[posu1(3),posu1(4)]);
and the plot looks like:

As you can see there is some vertical unnecessary space between the two horizontal stacks of plots. I would like to reduce it to be able to put the general title "Bilayer…" far enough from the top plots.
Any ideas?Dear all
I am plotting the following:
u1=figure(‘visible’,’off’,’units’,’pixels’,’position’,[0 0 1920 1080]);
t=tiledlayout(2,2,’Padding’,’compact’);
title(t,[‘Bilayer. Monte Carlo, $15$ million steps. $T=2$ K, $mathbf{H}=0$’;”;”],’FontSize’,18,’interpreter’,’latex’);
ax1=nexttile;
uimagesc(space_x,space_y,mx);
axis xy;
clim([-round(max([abs(max(max(mx))) abs(min(min(mx)))]),2) round(max([abs(max(max(mx))) abs(min(min(mx)))]),2)]);
colormap(ax1,bluewhitered(256));
box on;
clr1=colorbar(‘YTick’,[-round(max([abs(max(max(mx))) abs(min(min(mx)))]),2) -round(max([abs(max(max(mx))) abs(min(min(mx)))])/2,2) 0 round(max([abs(max(max(mx))) abs(min(min(mx)))])/2,2) round(max([abs(max(max(mx))) abs(min(min(mx)))]),2)]);
set(clr1,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr1,’$a$-{it th} magnetization component, $m_a$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax2=nexttile;
uimagesc(space_x,space_y,my);
clim([-max([abs(max(max(my))) abs(min(min(my)))]) max([abs(max(max(my))) abs(min(min(my)))])]);
colormap(ax2,bluewhitered(256));
axis xy;
box on;
clr2=colorbar(‘YTick’,[-max([abs(max(max(my))) abs(min(min(my)))]) -max([abs(max(max(my))) abs(min(min(my)))])/2 0 max([abs(max(max(my))) abs(min(min(my)))])/2 max([abs(max(max(my))) abs(min(min(my)))])]);
set(clr2,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr2,’$b$-{it th} magnetization component, $m_b$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax3=nexttile;
uimagesc(space_x,space_y,mz);
box on;
axis xy;
clim([-max([abs(max(max(mz))) abs(min(min(mz)))]) max([abs(max(max(mz))) abs(min(min(mz)))])]);
colormap(ax3,bluewhitered(256));
clr3=colorbar(‘YTick’,[-max([abs(max(max(mz))) abs(min(min(mz)))]) -max([abs(max(max(mz))) abs(min(min(mz)))])/2 0 max([abs(max(max(mz))) abs(min(min(mz)))])/2 max([abs(max(max(mz))) abs(min(min(mz)))])]);
set(clr3,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr3,’$z$-{it th} magnetization component, $m_z$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax4=nexttile;
uimagesc(space_x,space_y,total_magnetization);
box on;
axis xy;
clim([0 max(max(total_magnetization))]);
colormap(ax4,cmap);
clr4=colorbar(‘YTick’,[0 max(max(total_magnetization))/5 2*max(max(total_magnetization))/5 3*max(max(total_magnetization))/5 4*max(max(total_magnetization))/5 max(max(total_magnetization))]);
set(clr4,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr4,’Magnetization vector modulus, $left| mathbf{m} right|$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
set(gcf,’color’,’white’);
set(gca,’Units’,’normalized’);
set(u1,’Units’,’Inches’);
posu1=get(u1,’Position’);
set(u1,’PaperPositionMode’,’Auto’,’PaperUnits’,’Inches’,’PaperSize’,[posu1(3),posu1(4)]);
and the plot looks like:

As you can see there is some vertical unnecessary space between the two horizontal stacks of plots. I would like to reduce it to be able to put the general title "Bilayer…" far enough from the top plots.
Any ideas? Dear all
I am plotting the following:
u1=figure(‘visible’,’off’,’units’,’pixels’,’position’,[0 0 1920 1080]);
t=tiledlayout(2,2,’Padding’,’compact’);
title(t,[‘Bilayer. Monte Carlo, $15$ million steps. $T=2$ K, $mathbf{H}=0$’;”;”],’FontSize’,18,’interpreter’,’latex’);
ax1=nexttile;
uimagesc(space_x,space_y,mx);
axis xy;
clim([-round(max([abs(max(max(mx))) abs(min(min(mx)))]),2) round(max([abs(max(max(mx))) abs(min(min(mx)))]),2)]);
colormap(ax1,bluewhitered(256));
box on;
clr1=colorbar(‘YTick’,[-round(max([abs(max(max(mx))) abs(min(min(mx)))]),2) -round(max([abs(max(max(mx))) abs(min(min(mx)))])/2,2) 0 round(max([abs(max(max(mx))) abs(min(min(mx)))])/2,2) round(max([abs(max(max(mx))) abs(min(min(mx)))]),2)]);
set(clr1,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr1,’$a$-{it th} magnetization component, $m_a$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax2=nexttile;
uimagesc(space_x,space_y,my);
clim([-max([abs(max(max(my))) abs(min(min(my)))]) max([abs(max(max(my))) abs(min(min(my)))])]);
colormap(ax2,bluewhitered(256));
axis xy;
box on;
clr2=colorbar(‘YTick’,[-max([abs(max(max(my))) abs(min(min(my)))]) -max([abs(max(max(my))) abs(min(min(my)))])/2 0 max([abs(max(max(my))) abs(min(min(my)))])/2 max([abs(max(max(my))) abs(min(min(my)))])]);
set(clr2,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr2,’$b$-{it th} magnetization component, $m_b$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax3=nexttile;
uimagesc(space_x,space_y,mz);
box on;
axis xy;
clim([-max([abs(max(max(mz))) abs(min(min(mz)))]) max([abs(max(max(mz))) abs(min(min(mz)))])]);
colormap(ax3,bluewhitered(256));
clr3=colorbar(‘YTick’,[-max([abs(max(max(mz))) abs(min(min(mz)))]) -max([abs(max(max(mz))) abs(min(min(mz)))])/2 0 max([abs(max(max(mz))) abs(min(min(mz)))])/2 max([abs(max(max(mz))) abs(min(min(mz)))])]);
set(clr3,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr3,’$z$-{it th} magnetization component, $m_z$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
ax4=nexttile;
uimagesc(space_x,space_y,total_magnetization);
box on;
axis xy;
clim([0 max(max(total_magnetization))]);
colormap(ax4,cmap);
clr4=colorbar(‘YTick’,[0 max(max(total_magnetization))/5 2*max(max(total_magnetization))/5 3*max(max(total_magnetization))/5 4*max(max(total_magnetization))/5 max(max(total_magnetization))]);
set(clr4,’TickLabelInterpreter’,’latex’);
xlabel(‘$a$-{it th} spatial direction, $a , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(‘$b$-{it th} spatial direction, $b , , left( mathrm{nm} right)$’,’FontSize’,15,’interpreter’,’latex’);
ylabel(clr4,’Magnetization vector modulus, $left| mathbf{m} right|$’,’Interpreter’,’Latex’,’FontSize’,16);
xlim([0 300]);
xticks([0:50:300]);
ylim([0 100]);
yticks([0:20:100]);
pbaspect([1 1/3 1]);
xtickangle(0);
set(gca,’TickLabelInterpreter’,’latex’,’FontSize’,15);
set(gcf,’color’,’white’);
set(gca,’Units’,’normalized’);
set(u1,’Units’,’Inches’);
posu1=get(u1,’Position’);
set(u1,’PaperPositionMode’,’Auto’,’PaperUnits’,’Inches’,’PaperSize’,[posu1(3),posu1(4)]);
and the plot looks like:

As you can see there is some vertical unnecessary space between the two horizontal stacks of plots. I would like to reduce it to be able to put the general title "Bilayer…" far enough from the top plots.
Any ideas? padding compact tiledlayout MATLAB Answers — New Questions

​

I used the following repository to evaluate my data (https://github.com/matlab-deep-learning/pretrained-salsanext), but it loads a pretrained SalsaNext model. I would like to know whether it is possible to untrain the model, or to train it from scratch without creating the layergraph (Since this model involves a large number of layers, and the work seems to be cumbersome, and error-prone).

ThanksI used the following repository to evaluate my data (https://github.com/matlab-deep-learning/pretrained-salsanext), but it loads a pretrained SalsaNext model. I would like to know whether it is possible to untrain the model, or to train it from scratch without creating the layergraph (Since this model involves a large number of layers, and the work seems to be cumbersome, and error-prone).

Thanks I used the following repository to evaluate my data (https://github.com/matlab-deep-learning/pretrained-salsanext), but it loads a pretrained SalsaNext model. I would like to know whether it is possible to untrain the model, or to train it from scratch without creating the layergraph (Since this model involves a large number of layers, and the work seems to be cumbersome, and error-prone).

Thanks salsanext, untraining, neural network MATLAB Answers — New Questions

​

I am using the Synchronous Machine Model 1.0 in Simulink Simscape.
Does the rotor core of the Synchronous Machine Model 1.0 include hysteresis characteristics?I am using the Synchronous Machine Model 1.0 in Simulink Simscape.
Does the rotor core of the Synchronous Machine Model 1.0 include hysteresis characteristics? I am using the Synchronous Machine Model 1.0 in Simulink Simscape.
Does the rotor core of the Synchronous Machine Model 1.0 include hysteresis characteristics? simulink, simscape, electric_motor_control, model MATLAB Answers — New Questions

​

I want to plot the auto correlation function for 15 numbers without using the inbuilt function.
My code is as follows:

P=[ 47,64,23,71,38,64,55,41,59,48]; %%,71,35,57,40,58 ];
N=length(P);
Q=P(1:N);
R=P(1:N);

N1=length(Q);
N2=length(R);
u=mean(P);

sum= ((Q-u)*(R-u).’);
covar0=sum/N1;

for k=1:N-1 %% k is no. of lags and its max value can be 14 here
Q1=P(1:N-k); %% Splitting the series into 2 series separated by lag k
R1=P(1+k:N);
N1_1=length(Q1);
N2_1=length(R1);

sum1= ((Q1-u)*(R1-u).’);
covark=sum1/N;
acf=covark/covar0;
acf;
end

But after execution of the loop,I am getting acf value only for last value of k, which rather should have been an array for values of k=1 to 14.
I am new to matlab. Plz help me resolve the code.I want to plot the auto correlation function for 15 numbers without using the inbuilt function.
My code is as follows:

P=[ 47,64,23,71,38,64,55,41,59,48]; %%,71,35,57,40,58 ];
N=length(P);
Q=P(1:N);
R=P(1:N);

N1=length(Q);
N2=length(R);
u=mean(P);

sum= ((Q-u)*(R-u).’);
covar0=sum/N1;

for k=1:N-1 %% k is no. of lags and its max value can be 14 here
Q1=P(1:N-k); %% Splitting the series into 2 series separated by lag k
R1=P(1+k:N);
N1_1=length(Q1);
N2_1=length(R1);

sum1= ((Q1-u)*(R1-u).’);
covark=sum1/N;
acf=covark/covar0;
acf;
end

But after execution of the loop,I am getting acf value only for last value of k, which rather should have been an array for values of k=1 to 14.
I am new to matlab. Plz help me resolve the code. I want to plot the auto correlation function for 15 numbers without using the inbuilt function.
My code is as follows:

P=[ 47,64,23,71,38,64,55,41,59,48]; %%,71,35,57,40,58 ];
N=length(P);
Q=P(1:N);
R=P(1:N);

N1=length(Q);
N2=length(R);
u=mean(P);

sum= ((Q-u)*(R-u).’);
covar0=sum/N1;

for k=1:N-1 %% k is no. of lags and its max value can be 14 here
Q1=P(1:N-k); %% Splitting the series into 2 series separated by lag k
R1=P(1+k:N);
N1_1=length(Q1);
N2_1=length(R1);

sum1= ((Q1-u)*(R1-u).’);
covark=sum1/N;
acf=covark/covar0;
acf;
end

But after execution of the loop,I am getting acf value only for last value of k, which rather should have been an array for values of k=1 to 14.
I am new to matlab. Plz help me resolve the code. auto correlation, for loop MATLAB Answers — New Questions

​

Hi,
I have a problem with the visualization of Chart diagram and related properties in my model.
I using this code line (in a matlab script) to search all the subsystem object (including chart):
allsubsysObj = modelObj.find(‘-isa’,’Simulink.SubSystem’,’-or’,’-isa’,’Simulink.ModelReference’,’-depth’,1);
The script find the number of element that i’m expected (2 chart and 2 subsytem) but when i tried to put the diagram figure i obtained the inner content of the subsytem and the chart.
auxpara = CenterDiagram(Diagram(allsubsysObj(1)),R);
Cap = Text(strcat("Figure ",num2str(ChCounter),".",num2str(FigCounter),": ",allsubsysObj(1).Name," subsystem"));
Cap.Style = [{FontSize(Str.CapFontSize)},{Color(Str.CapColor)},{Bold(true)},{HAlign(Str.CapAlign)}];
FigCounter = FigCounter + 1;
subsec.add(auxpara);
subsec.add(Cap);
subsec.add(LineBreak());
How i can insert only the top level diagram of the chart?Hi,
I have a problem with the visualization of Chart diagram and related properties in my model.
I using this code line (in a matlab script) to search all the subsystem object (including chart):
allsubsysObj = modelObj.find(‘-isa’,’Simulink.SubSystem’,’-or’,’-isa’,’Simulink.ModelReference’,’-depth’,1);
The script find the number of element that i’m expected (2 chart and 2 subsytem) but when i tried to put the diagram figure i obtained the inner content of the subsytem and the chart.
auxpara = CenterDiagram(Diagram(allsubsysObj(1)),R);
Cap = Text(strcat("Figure ",num2str(ChCounter),".",num2str(FigCounter),": ",allsubsysObj(1).Name," subsystem"));
Cap.Style = [{FontSize(Str.CapFontSize)},{Color(Str.CapColor)},{Bold(true)},{HAlign(Str.CapAlign)}];
FigCounter = FigCounter + 1;
subsec.add(auxpara);
subsec.add(Cap);
subsec.add(LineBreak());
How i can insert only the top level diagram of the chart? Hi,
I have a problem with the visualization of Chart diagram and related properties in my model.
I using this code line (in a matlab script) to search all the subsystem object (including chart):
allsubsysObj = modelObj.find(‘-isa’,’Simulink.SubSystem’,’-or’,’-isa’,’Simulink.ModelReference’,’-depth’,1);
The script find the number of element that i’m expected (2 chart and 2 subsytem) but when i tried to put the diagram figure i obtained the inner content of the subsytem and the chart.
auxpara = CenterDiagram(Diagram(allsubsysObj(1)),R);
Cap = Text(strcat("Figure ",num2str(ChCounter),".",num2str(FigCounter),": ",allsubsysObj(1).Name," subsystem"));
Cap.Style = [{FontSize(Str.CapFontSize)},{Color(Str.CapColor)},{Bold(true)},{HAlign(Str.CapAlign)}];
FigCounter = FigCounter + 1;
subsec.add(auxpara);
subsec.add(Cap);
subsec.add(LineBreak());
How i can insert only the top level diagram of the chart? report generation MATLAB Answers — New Questions

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I regularly develop VHDL code for controllers that is supposed to run on FPGAs/CPLDs and I’m looking for possibilities to co-simulate this code in a closed-loop simulation environment that mimics the behavior of the controlled system. So what I would like to have is that I can define a dyamic model in Matlab (e.g., as a state-space model or a transfer function) and to simulate this model together with the controller’s HDL implementation using the outputs of the models as stimuli for the controller and the output of the controller as input for the dynamic model. Is there any way I can accomplish this with Matlab? If so, what do I have to look for?

What I found so far is apparently called HDL verifier and seems to be pretty much what I want. However, I’m currently using Lattice MachXO2 CPLDs and Lattice diamond comes with "ModelSim Lattice FPGA Edition" as a simulator. According to this post
https://ch.mathworks.com/matlabcentral/answers/493504-which-modelsim-editions-can-i-use-for-cosimulation-with-hdl-verifier
HDL verifier requires a FLI (foreign language interface), which the Lattice Edition of ModelSim does not provide. Is there any way I can use HDL verifier, e.g., by using a different simulator?I regularly develop VHDL code for controllers that is supposed to run on FPGAs/CPLDs and I’m looking for possibilities to co-simulate this code in a closed-loop simulation environment that mimics the behavior of the controlled system. So what I would like to have is that I can define a dyamic model in Matlab (e.g., as a state-space model or a transfer function) and to simulate this model together with the controller’s HDL implementation using the outputs of the models as stimuli for the controller and the output of the controller as input for the dynamic model. Is there any way I can accomplish this with Matlab? If so, what do I have to look for?

What I found so far is apparently called HDL verifier and seems to be pretty much what I want. However, I’m currently using Lattice MachXO2 CPLDs and Lattice diamond comes with "ModelSim Lattice FPGA Edition" as a simulator. According to this post
https://ch.mathworks.com/matlabcentral/answers/493504-which-modelsim-editions-can-i-use-for-cosimulation-with-hdl-verifier
HDL verifier requires a FLI (foreign language interface), which the Lattice Edition of ModelSim does not provide. Is there any way I can use HDL verifier, e.g., by using a different simulator? I regularly develop VHDL code for controllers that is supposed to run on FPGAs/CPLDs and I’m looking for possibilities to co-simulate this code in a closed-loop simulation environment that mimics the behavior of the controlled system. So what I would like to have is that I can define a dyamic model in Matlab (e.g., as a state-space model or a transfer function) and to simulate this model together with the controller’s HDL implementation using the outputs of the models as stimuli for the controller and the output of the controller as input for the dynamic model. Is there any way I can accomplish this with Matlab? If so, what do I have to look for?

What I found so far is apparently called HDL verifier and seems to be pretty much what I want. However, I’m currently using Lattice MachXO2 CPLDs and Lattice diamond comes with "ModelSim Lattice FPGA Edition" as a simulator. According to this post
https://ch.mathworks.com/matlabcentral/answers/493504-which-modelsim-editions-can-i-use-for-cosimulation-with-hdl-verifier
HDL verifier requires a FLI (foreign language interface), which the Lattice Edition of ModelSim does not provide. Is there any way I can use HDL verifier, e.g., by using a different simulator? vhdl, hdl simulation, hdl verifier, cosimlation, fpga MATLAB Answers — New Questions

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Hello, I’m currently working on a task to do a semantic segmentation on USG image to locate TMJ. I did my image labelling in Image Labeler App and only did one class so that the class region will be 1 and background is 0. I was about to train my model with unetLayers but it says "The value of ‘numClasses’ is invalid. Expected numClasses to be a scalar with value > 1."

I’m aware that someone asked this similar question here with an answer, but I want to ask, how to customize specifically unetLayers to accomodate single class? I see that unetLayers also has softmaxLayers but i can’t find the pixel layers. Thank you in advance!Hello, I’m currently working on a task to do a semantic segmentation on USG image to locate TMJ. I did my image labelling in Image Labeler App and only did one class so that the class region will be 1 and background is 0. I was about to train my model with unetLayers but it says "The value of ‘numClasses’ is invalid. Expected numClasses to be a scalar with value > 1."

I’m aware that someone asked this similar question here with an answer, but I want to ask, how to customize specifically unetLayers to accomodate single class? I see that unetLayers also has softmaxLayers but i can’t find the pixel layers. Thank you in advance! Hello, I’m currently working on a task to do a semantic segmentation on USG image to locate TMJ. I did my image labelling in Image Labeler App and only did one class so that the class region will be 1 and background is 0. I was about to train my model with unetLayers but it says "The value of ‘numClasses’ is invalid. Expected numClasses to be a scalar with value > 1."

I’m aware that someone asked this similar question here with an answer, but I want to ask, how to customize specifically unetLayers to accomodate single class? I see that unetLayers also has softmaxLayers but i can’t find the pixel layers. Thank you in advance! deep learning MATLAB Answers — New Questions

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I am trying to understand how the FFT of different directions in MATLAB works to reproduce in C/C++ instead.
So far I have the following simple example in MATLAB:
clearvars; clc; close all;
%3D FFT test
Nx = 8;
Ny = 4;
Nz= 6;
Lx =16;
Ly = 6;
dx = Lx/Nx;
dy = Ly/Ny;
%———–
xi_x = (2*pi)/Lx;
yi_y = (2*pi)/Ly;
xi = ((0:Nx-1)/Nx)*(2*pi);
yi = ((0:Ny-1)/Ny)*(2*pi);
x = xi/xi_x;
y = yi/yi_y;

zlow = 0; %a
zupp =6; %b
Lz = (zupp-zlow);
eta_zgl = 2/Lz;
[D,zgl] = cheb(Nz);
zgl = (1/2)*(((zupp-zlow)*zgl) + (zupp+zlow));
[X,Z,Y] = meshgrid(x,zgl,y); %this gives 3d grid with z-by-x-by-y size (i.e. ZXY)
%ICs
A = 2*pi / Lx;
B = 2*pi / Ly;
u = (Z-zlow) .* (Z-zupp) .* sin(A*X).* sin(B*Y);
uh1 =(fft(u,[],3));%ZXY
uh2 =(fft(u,[],1));%ZXY
uh3 =(fft(u,[],2));%ZXY
So, in C/C++ I have a 3D tensor with (Nz+1) rows and Nx coumns and Ny matrices and taking the 1D FFT along each "row" of u returns the same results as the following in MATLAB:
uh3 =(fft(u,[],2));%ZXY
While taking the 1D FFT of u along each column of u in C/C++ returns the same result as the following in MATLAB:
uh2 =(fft(u,[],1));%ZXY
Then my question is what does this 1D FFT represent? and how should I represent it in C/C++?
uh1 =(fft(u,[],3));%ZXY
The cheb(N) function is:
function [ D, x ] = cheb ( N )
if ( N == 0 )
D = 0.0;
x = 1.0;
return
end
x = cos ( pi * ( 0 : N ) / N )’;
c = [ 2.0; ones(N-1,1); 2.0 ] .* (-1.0).^(0:N)’;
X = repmat ( x, 1, N + 1 );
dX = X – X’;

% Set the off diagonal entries.
D =( c * (1.0 ./ c )’ ) ./ ( dX + ( eye ( N + 1 ) ) );
% Diagonal entries.
D = D – diag ( sum ( D’ ) );

return
endI am trying to understand how the FFT of different directions in MATLAB works to reproduce in C/C++ instead.
So far I have the following simple example in MATLAB:
clearvars; clc; close all;
%3D FFT test
Nx = 8;
Ny = 4;
Nz= 6;
Lx =16;
Ly = 6;
dx = Lx/Nx;
dy = Ly/Ny;
%———–
xi_x = (2*pi)/Lx;
yi_y = (2*pi)/Ly;
xi = ((0:Nx-1)/Nx)*(2*pi);
yi = ((0:Ny-1)/Ny)*(2*pi);
x = xi/xi_x;
y = yi/yi_y;

zlow = 0; %a
zupp =6; %b
Lz = (zupp-zlow);
eta_zgl = 2/Lz;
[D,zgl] = cheb(Nz);
zgl = (1/2)*(((zupp-zlow)*zgl) + (zupp+zlow));
[X,Z,Y] = meshgrid(x,zgl,y); %this gives 3d grid with z-by-x-by-y size (i.e. ZXY)
%ICs
A = 2*pi / Lx;
B = 2*pi / Ly;
u = (Z-zlow) .* (Z-zupp) .* sin(A*X).* sin(B*Y);
uh1 =(fft(u,[],3));%ZXY
uh2 =(fft(u,[],1));%ZXY
uh3 =(fft(u,[],2));%ZXY
So, in C/C++ I have a 3D tensor with (Nz+1) rows and Nx coumns and Ny matrices and taking the 1D FFT along each "row" of u returns the same results as the following in MATLAB:
uh3 =(fft(u,[],2));%ZXY
While taking the 1D FFT of u along each column of u in C/C++ returns the same result as the following in MATLAB:
uh2 =(fft(u,[],1));%ZXY
Then my question is what does this 1D FFT represent? and how should I represent it in C/C++?
uh1 =(fft(u,[],3));%ZXY
The cheb(N) function is:
function [ D, x ] = cheb ( N )
if ( N == 0 )
D = 0.0;
x = 1.0;
return
end
x = cos ( pi * ( 0 : N ) / N )’;
c = [ 2.0; ones(N-1,1); 2.0 ] .* (-1.0).^(0:N)’;
X = repmat ( x, 1, N + 1 );
dX = X – X’;

% Set the off diagonal entries.
D =( c * (1.0 ./ c )’ ) ./ ( dX + ( eye ( N + 1 ) ) );
% Diagonal entries.
D = D – diag ( sum ( D’ ) );

return
end I am trying to understand how the FFT of different directions in MATLAB works to reproduce in C/C++ instead.
So far I have the following simple example in MATLAB:
clearvars; clc; close all;
%3D FFT test
Nx = 8;
Ny = 4;
Nz= 6;
Lx =16;
Ly = 6;
dx = Lx/Nx;
dy = Ly/Ny;
%———–
xi_x = (2*pi)/Lx;
yi_y = (2*pi)/Ly;
xi = ((0:Nx-1)/Nx)*(2*pi);
yi = ((0:Ny-1)/Ny)*(2*pi);
x = xi/xi_x;
y = yi/yi_y;

zlow = 0; %a
zupp =6; %b
Lz = (zupp-zlow);
eta_zgl = 2/Lz;
[D,zgl] = cheb(Nz);
zgl = (1/2)*(((zupp-zlow)*zgl) + (zupp+zlow));
[X,Z,Y] = meshgrid(x,zgl,y); %this gives 3d grid with z-by-x-by-y size (i.e. ZXY)
%ICs
A = 2*pi / Lx;
B = 2*pi / Ly;
u = (Z-zlow) .* (Z-zupp) .* sin(A*X).* sin(B*Y);
uh1 =(fft(u,[],3));%ZXY
uh2 =(fft(u,[],1));%ZXY
uh3 =(fft(u,[],2));%ZXY
So, in C/C++ I have a 3D tensor with (Nz+1) rows and Nx coumns and Ny matrices and taking the 1D FFT along each "row" of u returns the same results as the following in MATLAB:
uh3 =(fft(u,[],2));%ZXY
While taking the 1D FFT of u along each column of u in C/C++ returns the same result as the following in MATLAB:
uh2 =(fft(u,[],1));%ZXY
Then my question is what does this 1D FFT represent? and how should I represent it in C/C++?
uh1 =(fft(u,[],3));%ZXY
The cheb(N) function is:
function [ D, x ] = cheb ( N )
if ( N == 0 )
D = 0.0;
x = 1.0;
return
end
x = cos ( pi * ( 0 : N ) / N )’;
c = [ 2.0; ones(N-1,1); 2.0 ] .* (-1.0).^(0:N)’;
X = repmat ( x, 1, N + 1 );
dX = X – X’;

% Set the off diagonal entries.
D =( c * (1.0 ./ c )’ ) ./ ( dX + ( eye ( N + 1 ) ) );
% Diagonal entries.
D = D – diag ( sum ( D’ ) );

return
end meshgrid, fft, numerical libraries, c/c++ MATLAB Answers — New Questions

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