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Adaptive Sliding Mode RBF Neural Network Control

Chapter

Abstract

Sliding mode control is an effective approach for the robust control of a class of nonlinear systems with uncertainties defined in compact sets. The direction of the control action at any moment is determined by a switching condition to force the system to evolve on the sliding surface so that the closed-loop system behaves like a lower order linear system.

References

  1. 1.
    P.A. Ioannou, J. Sun, Robust Adaptive Control. (PTR Prentice-Hall, 1996), pp. 75–76Google Scholar
  2. 2.
    F.L. Lewis, K. Liu, A. Yesildirek, Neural net robot controller with guaranteed tracking performance. IEEE Trans. Neural Netw. 6(3), 703–715 (1995)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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