Top-level approach to Simulink parameter study
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I inherited a Simulink model that I will use for a study in which ~50 parameters are varied. This will require repeatedly running the model for each choice of parameter value, saving the output, and estimating summary statistics. For parameter changes that produce interesting statistics, I will need to resurrect and compare the time-varying behavior of the system. The Simulink model and choice of summary statistics will likely evolve.
Since I am new to Simulink, I would like top-level advice on how to cut into this pie. Should I have a master script mfile that walks through the parameter combinations, passes them to Simulink, and saves the result in a giant structure? Or...?
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