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Nonlinear neural controller with neural Smith predictor

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Abstract

This paper proposes a new nonlinear neural controller with a neural Smith predictor for time-delay compensation of nonlinear processes. Similar to the conventional linear PID controller, the nonlinear neural network based controller uses the system error, the integral of the system error, and the derivative of the system error as its inputs but the mapping from the inputs to the output of the controller is nonlinear. Finally simulation results are presented.

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References

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Authors and Affiliations

  1. Automatic Control Laboratory, University of Gent Technologiepark 9 B, B-9052, Gent, Belgium

    Yonghong Tan & Achiel Van Cauwenberghe

Authors
  1. Yonghong Tan
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  2. Achiel Van Cauwenberghe
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On leave from Guilin Institute of Electronic Technology, PRC

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Tan, Y., Van Cauwenberghe, A. Nonlinear neural controller with neural Smith predictor. Neural Process Lett 1, 24–27 (1994). https://doi.org/10.1007/BF02310939

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  • DOI: https://doi.org/10.1007/BF02310939

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