Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance

Wei Yen Wang, Mei Lang Chan, Tsu Tian Lee, Cheng Hsin Liu

Research output: Contribution to journalArticle

99 Citations (Scopus)

Abstract

In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.

Original languageEnglish
Pages (from-to)878-885
Number of pages8
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume30
Issue number6
DOIs
Publication statusPublished - 2000 Dec 1

Keywords

  • Adaptive fuzzy control
  • Fuzzy logic system
  • H tracking performance
  • Strict-feedback system

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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