Observer-based adaptive fuzzy control for SISO nonlinear systems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)355-376
Journal / PublicationFuzzy Sets and Systems
Volume148
Issue number3
Publication statusPublished - 16 Dec 2004

Abstract

The observer-based indirect and direct adaptive fuzzy controllers are developed for a class of SISO uncertain nonlinear systems. The proposed approaches do not need the availability of the state variables. By designing the state observer, the adaptive fuzzy systems, which are used to model the unknown functions, can be constructed using the state estimations. Thus, a new hybrid adaptive fuzzy control method is proposed by combining the above adaptive fuzzy system with the H control technique. Based on Lyapunov stability theorem, the proposed adaptive fuzzy control system can guarantee the stability of the whole closed-loop systems and obtain good tracking performance as well. The proposed methods are applied to an inverted pendulum system and a chaotic system and achieve satisfactory simulation results. © 2003 Elsevier B.V. All rights reserved.

Research Area(s)

  • Adaptive control, Fuzzy control, Nonlinear systems, Observer, Stability

Citation Format(s)

Observer-based adaptive fuzzy control for SISO nonlinear systems. / Tong, Shaocheng; Li, Han-Xiong; Wang, Wei.
In: Fuzzy Sets and Systems, Vol. 148, No. 3, 16.12.2004, p. 355-376.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review