Direct adaptive fuzzy output tracking control of 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)107-115
Journal / PublicationFuzzy Sets and Systems
Volume128
Issue number1
Publication statusPublished - 16 May 2002

Abstract

A stable direct adaptive fuzzy output tracking control scheme is developed for the single-input-single-output (SISO) unknown nonlinear systems. Using a high-gain observer, the proposed adaptive fuzzy algorithm does not require the state variables to be measurable. First, a direct adaptive fuzzy state controller is constructed with the aid of its H control technique to achieve the H tracking performance. Afterwards, a high-gain observer is used to estimate the system states, by which the above adaptive fuzzy state controller becomes an adaptive fuzzy output feedback control. The proposed control scheme can guarantee the stability of the closed-loop system and the good tracking performance as well. © 2002 Elsevier Science B.V. All rights reserved.

Research Area(s)

  • Adaptive control, Fuzzy control, High-gain observer, Nonlinear systems, Stability

Citation Format(s)

Direct adaptive fuzzy output tracking control of nonlinear systems. / Tong, Shaocheng; Li, Han-Xiong.
In: Fuzzy Sets and Systems, Vol. 128, No. 1, 16.05.2002, p. 107-115.

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