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System identification capabilities#606

billtubbs started this conversation inIdeas
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Not sure if this discussion has been had, but I've been looking for a good system identification package in Python for a while. As far as I can tell Python-Control has not implemented any of the Matlab functions likeprocest,ar,arx,armax,idss,polyest,n4sid,pem, etc.

I don't know any open source software that can compete with Mathwork's System Identification Toolbox so this would be a great thing i.m.o.Is there a plan for system identification capabilities in Python-control?

If so, would the goal be to create additional capabilities (e.g. similar to Matlab) or to integrate with these existing projects? (I'd be interested in contributing to any such effort.)

Sorry, if I have missed something.

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From my brief research there are a few existing system identification packages in Python:

  • GEKKO Optimization Suite – constrained linear/non-linear optimization with API access to a suite of different solvers
  • SIPPY – linear models from input-output data
  • SysIdentPy – system Identification using NARMAX models
  • Opty – constrained optimization with symbolically-defined ordinary differential equations

Does anyone know of others I should add to this list?

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@jgoppert has asysid package

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