How to call a function containing large dataset of inputs and target attribute in matlab function block

function y=RefGen(u1,u2)
[u1,u2,yd]=dsdata();
x=[u1 u2];

Here u1 and u2 are inputs and y is the output,

dsdata() is the function to be called in the matlab function block

u1 and u2 will assign the input vectors containing 100 samples each and yd will assign the target attribute

x is the input matrix containing u1 and u2 inputs

[Aquatris]

Your question is ambigous and your code is not clear.You give u1 and u2 as input to RefGen function but then overwrite them with the output from the dsdata function. What exactly are you trying to achieve?

As your code does, you can call a function from within another functions;

y = myFun_1(5);

function 1 called!
function 2 called!

disp(y)

   125

function y = myFun_1(x)
fprintf('function 1 called!\n')
y = 5*myFun_2(x);
end
function y = myFun_2(x)
fprintf('function 2 called!\n')
y = 5*x;
end

[Divye]

Actually dsdata()=[G T MPPT]

where each G,T,MPPT contain 100 samples i.e. 100 rows and 1 column each. I have to call this dataset and store these values in [u1,u2,yd] this implies [u1,u2,yd]=[G T MPPT]

[Aquatris]

Since you mention dataset, is dsdata a '.mat' file or a function that outputs the G T MPPT arrays?

% if dsdata is a mat file with G T MPPT variable inside
function [u1,u2,yd]=RefGen(u1,u2)
data = load('dsdata.mat');
u1 = data.G;
u2 = data.T;
yd = data.MPPT;
end

% if dsdata is a function that outputs G T MPPT
function [u1,u2,yd]=RefGen(u1,u2)
[G,T,MPPT]  = dsdata;
u1 = G;
u2 = T;
yd = MPPT;
end

[Divye]

Thanks for your answer. The RefGen(u1,u2) function is written in the matlab function block.But where the dataset or dsdata() should be written as each of G,T,MPPT contain 100 samples

Answer 1

[Nipun]

Hi Divye,

I understand that you want to call a function dsdata that provides a large dataset of inputs and target attributes within a MATLAB Function block. Here's a concise example of how you can achieve this:

1. Ensure dsdata is correctly defined and accessible within your MATLAB path.
2. Modify your MATLAB Function block code to properly handle the large dataset.

Here's how you can structure your function:

function y = RefGen(u1, u2)
    % Call the dsdata function to get input and target data
    [u1, u2, yd] = dsdata();
    
    % Combine inputs into a single matrix
    x = [u1 u2];
    
    % Here you can define how you want to process the inputs
    % For demonstration, let's assume y is computed as the mean of the target
    y = mean(yd);
end

Notes:

1. dsdata Function: Ensure dsdata returns the dataset in the required format.
2. Handling Large Data: If your dataset is extremely large, consider optimizing memory usage or processing data in chunks.

Example dsdata Function:

function [u1, u2, yd] = dsdata()
    % Example dataset generation
    u1 = rand(100, 1);  % Replace with actual data
    u2 = rand(100, 1);  % Replace with actual data
    yd = rand(100, 1);  % Replace with actual target data
end

Including in MATLAB Function Block:

1. Open your Simulink model.
2. Insert a MATLAB Function block.
3. Double-click the MATLAB Function block to open the editor.
4. Replace the content with the RefGen function code above.
5. Ensure dsdata is either in the same directory or in the MATLAB path.

For detailed guidance on using MATLAB Function blocks, refer to the MathWorks documentation: https://www.mathworks.com/help/simulink/ug/adding-data-to-a-matlab-function-block.html

Hope this helps.

Regards,

Nipun

[Divye]

Thanks for your answer. i want to know that where to write the dsdata() function in the simulink and how to handle large dataset. I didn't get your 5th point and that you have written in notes. May you provide with some example.

The dataset contains dsdata()=[G T MPPT].where G and T are inputs and MPPT is the target attribute. Each of G,T,MPPT contain 100 samples .