Typically, the private properties of a class are not accessible by any other class or function from outside.
But, a friend function can be granted special access to private and protected members of a class in C++.
For further reference: https://en.cppreference.com/w/cpp/language/friend

Is there any way, I can implement this in MATLAB?
It would be really helpful if anyone could provide a sample code illustrating the implementation in MATLAB.
Thanks in advance.Typically, the private properties of a class are not accessible by any other class or function from outside.
But, a friend function can be granted special access to private and protected members of a class in C++.
For further reference: https://en.cppreference.com/w/cpp/language/friend

Is there any way, I can implement this in MATLAB?
It would be really helpful if anyone could provide a sample code illustrating the implementation in MATLAB.
Thanks in advance. Typically, the private properties of a class are not accessible by any other class or function from outside.
But, a friend function can be granted special access to private and protected members of a class in C++.
For further reference: https://en.cppreference.com/w/cpp/language/friend

Is there any way, I can implement this in MATLAB?
It would be really helpful if anyone could provide a sample code illustrating the implementation in MATLAB.
Thanks in advance. matlab, oop, programming MATLAB Answers — New Questions

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Hello, I have two matrices, M1 ans M2. They both have rows and columns fom 0 to 9 and a to f (16 * 16) matrix.
Mi matrix is filled with random numbers form 0 to 255 in hex decimal notation.

The second matrix M2 is empty but has the same row and column indexs. I need to fill M2 with the help of M1. For eample, in M2, at row 3 and colm 4 ( 34,the first entry of M1) will be 00 ( index of the first entry of M1). In M2 at row 6 col A, the entry will be 01, at row 2 col 9, the entry will be 02, and so on.
%% % Initialize M2 with zeros
M2 = zeros(16,16);
for row = 0:15
for col = 0:15
% get the value from M1
value= M1(row+1,col+1);

% Convert the values to row and col indices for M2

hexStr=dec2hex(value,2); % convert to 2 digit hex
M2_row=hex2dec(hexStr(1))+1;% convert first digit to decimal
M2_col=hex2dec(hexStr(2))+1;% convert first digit to decimal
% %Debugging

% % place the original rows and columns in M2
%
M2(M2_row, M2_col)=row*16+col;
end
end
M2;

If anyone can help.Hello, I have two matrices, M1 ans M2. They both have rows and columns fom 0 to 9 and a to f (16 * 16) matrix.
Mi matrix is filled with random numbers form 0 to 255 in hex decimal notation.

The second matrix M2 is empty but has the same row and column indexs. I need to fill M2 with the help of M1. For eample, in M2, at row 3 and colm 4 ( 34,the first entry of M1) will be 00 ( index of the first entry of M1). In M2 at row 6 col A, the entry will be 01, at row 2 col 9, the entry will be 02, and so on.
%% % Initialize M2 with zeros
M2 = zeros(16,16);
for row = 0:15
for col = 0:15
% get the value from M1
value= M1(row+1,col+1);

% Convert the values to row and col indices for M2

hexStr=dec2hex(value,2); % convert to 2 digit hex
M2_row=hex2dec(hexStr(1))+1;% convert first digit to decimal
M2_col=hex2dec(hexStr(2))+1;% convert first digit to decimal
% %Debugging

% % place the original rows and columns in M2
%
M2(M2_row, M2_col)=row*16+col;
end
end
M2;

If anyone can help. Hello, I have two matrices, M1 ans M2. They both have rows and columns fom 0 to 9 and a to f (16 * 16) matrix.
Mi matrix is filled with random numbers form 0 to 255 in hex decimal notation.

The second matrix M2 is empty but has the same row and column indexs. I need to fill M2 with the help of M1. For eample, in M2, at row 3 and colm 4 ( 34,the first entry of M1) will be 00 ( index of the first entry of M1). In M2 at row 6 col A, the entry will be 01, at row 2 col 9, the entry will be 02, and so on.
%% % Initialize M2 with zeros
M2 = zeros(16,16);
for row = 0:15
for col = 0:15
% get the value from M1
value= M1(row+1,col+1);

% Convert the values to row and col indices for M2

hexStr=dec2hex(value,2); % convert to 2 digit hex
M2_row=hex2dec(hexStr(1))+1;% convert first digit to decimal
M2_col=hex2dec(hexStr(2))+1;% convert first digit to decimal
% %Debugging

% % place the original rows and columns in M2
%
M2(M2_row, M2_col)=row*16+col;
end
end
M2;

If anyone can help. matrix indexes MATLAB Answers — New Questions

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Hello everyone
Hello everyone,I’m encountering some difficulties while analyzing EEG data using EEGLab. After clustering ICs using the K-means algorithm, I’m unsure about how to select meaningful clusters for further analysis.Specifically, I’d like to plot ERSPs for a chosen cluster (e.g., cluster 2) and then apply bootstrapping to the entire epoch. Subsequently, I want to set all non-significant ERSP values (p > 0.05) compared to this distribution to zero dB.Hello everyone
Hello everyone,I’m encountering some difficulties while analyzing EEG data using EEGLab. After clustering ICs using the K-means algorithm, I’m unsure about how to select meaningful clusters for further analysis.Specifically, I’d like to plot ERSPs for a chosen cluster (e.g., cluster 2) and then apply bootstrapping to the entire epoch. Subsequently, I want to set all non-significant ERSP values (p > 0.05) compared to this distribution to zero dB. Hello everyone
Hello everyone,I’m encountering some difficulties while analyzing EEG data using EEGLab. After clustering ICs using the K-means algorithm, I’m unsure about how to select meaningful clusters for further analysis.Specifically, I’d like to plot ERSPs for a chosen cluster (e.g., cluster 2) and then apply bootstrapping to the entire epoch. Subsequently, I want to set all non-significant ERSP values (p > 0.05) compared to this distribution to zero dB. matlab, eeglab, eeg, ersp, clustering MATLAB Answers — New Questions

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Hello everyone, I have a question
I have a continuous system that updates every 0.001 seconds.
In addition to this, I have a controller that should be updated with a delay of at least 100 times the system (ie every 100 iterations it is updated)

My question is this:
Do I need to calculate the signal and its derivatives and in addition the error and its derivative with T or with dt? I’m not sure..

The system is denoted as y_pk
The required signal is denoted as y_dk

This is part of my code:
dt=0.001; %discrete time
T=0.1; %continoues time
y_d = sin(1 * time); % desired signal
dy_d = diff(y_d) / dt;
ddy_d = diff(dy_d) / dt;
%initialize:
y_dk1=0; dy_dk1=0; uk2=0; uk1=0;
firstrun=true;
for j = 1:length(time)
y_dk = y_d(j);
if mod(j, 100) == 0 ||firstrun
T=dt; % ??
dy_dk = (y_dk-y_dk1)/T; %derv of y_dk
ddy_dk = (dy_dk – dy_dk1)/T; %second derv of y_dk
ek = y_dk – y_pk;
de_k = dy_dk – dy_pk;

uk = (1/c)*(a1*dy_pk + b1*(dy_pk)^2 + a2*y_pk + b2*(y_pk)^2 +k_p*ek + k_d*de_k + ddy_dk); % u: control input
% Store data for nex step:
uk2=uk1;
uk1=uk;
firstrun=false;
end
y_pk = …. ; %update each 0.001 second (continoues time)
dy_pk = (y_pk-y_pk1)/dt; %derv of y_pk

% Store data for nex step: system
y_pk2=y_pk1;
y_pk1=y_pk;

Thank you all!! :)Hello everyone, I have a question
I have a continuous system that updates every 0.001 seconds.
In addition to this, I have a controller that should be updated with a delay of at least 100 times the system (ie every 100 iterations it is updated)

My question is this:
Do I need to calculate the signal and its derivatives and in addition the error and its derivative with T or with dt? I’m not sure..

The system is denoted as y_pk
The required signal is denoted as y_dk

This is part of my code:
dt=0.001; %discrete time
T=0.1; %continoues time
y_d = sin(1 * time); % desired signal
dy_d = diff(y_d) / dt;
ddy_d = diff(dy_d) / dt;
%initialize:
y_dk1=0; dy_dk1=0; uk2=0; uk1=0;
firstrun=true;
for j = 1:length(time)
y_dk = y_d(j);
if mod(j, 100) == 0 ||firstrun
T=dt; % ??
dy_dk = (y_dk-y_dk1)/T; %derv of y_dk
ddy_dk = (dy_dk – dy_dk1)/T; %second derv of y_dk
ek = y_dk – y_pk;
de_k = dy_dk – dy_pk;

uk = (1/c)*(a1*dy_pk + b1*(dy_pk)^2 + a2*y_pk + b2*(y_pk)^2 +k_p*ek + k_d*de_k + ddy_dk); % u: control input
% Store data for nex step:
uk2=uk1;
uk1=uk;
firstrun=false;
end
y_pk = …. ; %update each 0.001 second (continoues time)
dy_pk = (y_pk-y_pk1)/dt; %derv of y_pk

% Store data for nex step: system
y_pk2=y_pk1;
y_pk1=y_pk;

Thank you all!! 🙂 Hello everyone, I have a question
I have a continuous system that updates every 0.001 seconds.
In addition to this, I have a controller that should be updated with a delay of at least 100 times the system (ie every 100 iterations it is updated)

My question is this:
Do I need to calculate the signal and its derivatives and in addition the error and its derivative with T or with dt? I’m not sure..

The system is denoted as y_pk
The required signal is denoted as y_dk

This is part of my code:
dt=0.001; %discrete time
T=0.1; %continoues time
y_d = sin(1 * time); % desired signal
dy_d = diff(y_d) / dt;
ddy_d = diff(dy_d) / dt;
%initialize:
y_dk1=0; dy_dk1=0; uk2=0; uk1=0;
firstrun=true;
for j = 1:length(time)
y_dk = y_d(j);
if mod(j, 100) == 0 ||firstrun
T=dt; % ??
dy_dk = (y_dk-y_dk1)/T; %derv of y_dk
ddy_dk = (dy_dk – dy_dk1)/T; %second derv of y_dk
ek = y_dk – y_pk;
de_k = dy_dk – dy_pk;

uk = (1/c)*(a1*dy_pk + b1*(dy_pk)^2 + a2*y_pk + b2*(y_pk)^2 +k_p*ek + k_d*de_k + ddy_dk); % u: control input
% Store data for nex step:
uk2=uk1;
uk1=uk;
firstrun=false;
end
y_pk = …. ; %update each 0.001 second (continoues time)
dy_pk = (y_pk-y_pk1)/dt; %derv of y_pk

% Store data for nex step: system
y_pk2=y_pk1;
y_pk1=y_pk;

Thank you all!! 🙂 control, discrete system, controller MATLAB Answers — New Questions

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