Model-free learning control of nonlinear discrete-time systems

  title={Model-free learning control of nonlinear discrete-time systems},
  author={Nader Sadegh},
  journal={Proceedings of the 2011 American Control Conference},
  • Nader Sadegh
  • Published 2011 in
    Proceedings of the 2011 American Control…
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 track a prescribed desired trajectory. Unlike most of the existing direct adaptive or learning schemes, the nonlinear plant is not assumed… CONTINUE READING

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