optimize parameters of iterative simulink calls

I have a matlab code that use experimental data inputs to run simulink file iteratively.

when collecting the outputs of the simulink i have to make parameter estimation comparing to experimental data with simulated data from all iterationss.

The process of parameter estimation is clear when there is one simulink call (example: using simulink app parameter estimation)

But in my case when iterating simulink block it is not possible to do so. Is there any suggestion or alternatif ?

for i=1:length(Experimental-Data.S)
    S = Experimental-Data.S(i);
    T = Experimental-Data.T(i);
    sim('PandO_MPPT_PeEbuilt_modified');

[Mathieu NOE]

hello

should be possible , if you use the sim outputs

simout = sim(mdl,paramstruct)

sim

Answer 1

[Adarsh]

Hi @YASSER,

You can refer to the following MATLAB Answer link for parameter estimation for multiple runs using GUI:

https://www.mathworks.com/matlabcentral/answers/2175744-how-to-sweep-simulink-parameters-without-using-script-or-sim-command#answer_1562895

If your goal is to perform parameter estimation programmatically then you can refer to the following documentation link:

https://www.mathworks.com/help/releases/R2024b/sldo/ug/estimate-model-parameters-per-experiment-code.html

I hope it helps!