Paper Title:
Adaptive Fuzzy Sliding Mode Control for a Class of Nonlinear Dynamical Systems
  Abstract

This paper presents a FBFN-based (Fuzzy Basis Function Networks) adaptive sliding mode control algorithm for nonlinear dynamic systems. Firstly, we designed an perfect control law according to the nominal plant. However, there always exists discrepancy between nominal and actual mode, and the FBFN was applied to approximate the uncertainty. After that, the adaptive law was designed to update the parameters of FBFN to alleviate the approximating errors. Based on the theory of Lyapunov stability, the stability of the adaptive controller was given with a sufficient condition. Simulation example was also given to illustrate the effectiveness of the method.

  Info
Periodical
Chapter
Chapter 7: Frontiers of Computer Applicated in Building
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4309-4312
DOI
10.4028/www.scientific.net/AMM.71-78.4309
Citation
W. D. Zheng, G. Liu, J. Yang, H. Q. Hou, M. H. Wang, "Adaptive Fuzzy Sliding Mode Control for a Class of Nonlinear Dynamical Systems", Applied Mechanics and Materials, Vols. 71-78, pp. 4309-4312, 2011
Online since
July 2011
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