Recursive back-stepping design of an adaptive fuzzy controller for strict output feedback nonlinear systems

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

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

A back-stepping adaptive fuzzy controller is proposed for strict output feedback nonlinear systems. The unknown nonlinearity and external disturbances of such systems are considered. We assume that only the output of the system is available for measurement. As a result, two filters are constructed to estimate the states of strict output feedback systems. Since fuzzy systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory combined with a tuning function scheme is developed to derive the control laws of strict output feedback systems that possess unknown functions. Moreover, the H performance condition is introduced to attenuate the effect of the modeling error and external disturbances. Finally, an example is simulated in order to confirm the applicability of the proposed method.

Original languageEnglish
Pages (from-to)255-264
Number of pages10
JournalAsian Journal of Control
Volume4
Issue number3
DOIs
Publication statusPublished - 2002 Sep

Keywords

  • Adaptive fuzzy control
  • Recursive back-stepping design
  • Strict output feedback system

ASJC Scopus subject areas

  • Control and Systems Engineering

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