Hi @CoderMinga
As per my understanding, you would like to integrate data-driven surrogate models into Simulink. If a surrogate model is trained using MATLAB (e.g., with 'fitrgp', 'fitcensemble', or 'fitrtree'), then it can be used in Simulink by calling it from a 'MATLAB Function block'. This can be done as follows -
1. Train and save your model in MATLAB:
model = fitrtree(X, Y);
saveCompactModel(model, 'treeModel');
2. In Simulink, add a 'MATLAB Function block' and use the following code as a starting point:
function y = predictFromSurrogate(x)
persistent mdl
if isempty(mdl)
mdl = loadCompactModel('treeModel');
end
y = predict(mdl, x);
3. Ensure that:
- Input x matches the dimensionality of your model.
- treeModel.mat is on the MATLAB path or current folder.
For more information regarding MATLAB function block, kindly refer the following documentation https://www.mathworks.com/help/simulink/ug/what-is-a-matlab-function-block.html
I hope this helps.
