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Adaptive Fuzzy Control

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Abstract

Since the idea of fuzzy system universal approximation theorem was introduced [1], adaptive fuzzy control techniques have undergone great developments and have been successfully applied in many fields such as learning, pattern recognition, signal processing, modeling, and system control.

Keywords

Adaptive Fuzzy Control Design Universal Approximation Theorem Fuzzy Systems Ylabel Xlabel 
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.

References

  1. 1.
    L.X.Wang, A Course in Fuzzy Systems and Control, (Prentice-Hall International, Inc., 1996)Google Scholar
  2. 2.
    L.X. Wang, Stable adaptive fuzzy control of nonlinear systems. IEEE Trans. Fuzzy Syst. 1(2), 146–155 (1993)CrossRefGoogle Scholar
  3. 3.
    P.A. Ioannou, J. Sun, Robust Adaptive Control, (PTR Prentice-Hall, 1996), pp. 75–76Google Scholar
  4. 4.
    B.K. Yoo, W.C. Ham, Adaptive control of robot manipulator using fuzzy compensator. IEEE Trans. Fuzzy Syst. 8(2), 186–199 (2000)CrossRefGoogle Scholar

Copyright information

© Tsinghua University Press, Beijing and Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Beihang UniversityBeijingChina

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