Model-free learning control of nonlinear discrete-time systems

  • Nader Sadegh
  • Published 2011 in
    Proceedings of the 2011 American Control…

Abstract

A model-free learning controller for a general class of nonlinear discrete-time state-space systems is introduced. The learning component of the proposed controller can use an arbitrary function approximator such as a Polynomial, Radial Basis, or Neural Network to directly learn the inverse of the input-state mapping of the plant while forcing its state to… (More)

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Cite this paper

@article{Sadegh2011ModelfreeLC, title={Model-free learning control of nonlinear discrete-time systems}, author={Nader Sadegh}, journal={Proceedings of the 2011 American Control Conference}, year={2011}, pages={3553-3558} }