Design of robust fuzzy-model-based controller with sliding mode control for SISO nonlinear systems

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

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Author(s)

  • W. Chang
  • [Unknown] Jin Bae Park
  • [Unknown] Young Hoon Joo
  • G. Chen

Detail(s)

Original languageEnglish
Pages (from-to)1-22
Journal / PublicationFuzzy Sets and Systems
Volume125
Issue number1
Publication statusPublished - 1 Jan 2002
Externally publishedYes

Abstract

In this paper, we present the design of a new type of fuzzy controllers for controlling complex single-input-single-output systems by incorporating sliding mode control theory with fuzzy control technology. First, a fuzzy model of the given nonlinear system is constructed to represent the local dynamic behaviors of the given nonlinear system. A global controller is then constructed by combining all local state feedback controllers and a global supervisory sliding mode controller. Improved robustness and tracking performance are obtained by a seamless integration of fuzzy-model-based control and sliding mode control. In addition, stability of controlling the original underlying nonlinear systems is guaranteed owing to the robustness of the sliding mode control method to system parameter uncertainties. Two simulation examples are included to show the effectiveness and feasibility of the developed integrated controller. © 2002 Elsevier Science B.V. All rights reserved.

Research Area(s)

  • Fuzzy-model-based control, Sliding mode control, TS fuzzy model

Citation Format(s)

Design of robust fuzzy-model-based controller with sliding mode control for SISO nonlinear systems. / Chang, W.; Jin Bae Park, [Unknown]; Young Hoon Joo, [Unknown] et al.
In: Fuzzy Sets and Systems, Vol. 125, No. 1, 01.01.2002, p. 1-22.

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