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Adaptive Control of Non-Linear Plants

  • Oscar Castillo
  • Patricia Melin
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 117)

Abstract

We describe in this chapter adaptive model-based control of non-linear plants using soft computing techniques. First, the general concept of adaptive modelbased control is described. Second, the use of fuzzy logic for adaptive control is described. Third, a neuro-fuzzy approach is proposed to learn the parameters of the fuzzy system for control. A specific non-linear plant is used to test the hybrid approach for adaptive control. A particular stepping motor was used as test bed in the experiments. The results of the neuro-fuzzy approach were good, both in accuracy and efficiency.

Keywords

Adaptive Control Fuzzy Controller Step Motor Fuzzy Logic Controller Adaptive Fuzzy Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2003

Authors and Affiliations

  • Oscar Castillo
    • 1
    • 2
  • Patricia Melin
    • 1
    • 2
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  2. 2.Tijuana, B. C.Mexico

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