On the design of stable fuzzy controller based on adaptive approach

H. K. Lam, Hung Fat Frank Leung, P. K S Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents the design of adaptive fuzzy controller for an n-th order plant. The plant is first divided into two parts, the known part and the unknown part. During the control process, the unknown part of the optimal control signal will be approximated by an adaptive fuzzy controller. The adaptive fuzzy controller is described by the IF-THEN rules. The consequent part of each rule is changed according to the adaptive law. Based on a Lyapunov function, the adaptive law is derived under which the stability of the system is guaranteed. Finally, an example will be given to show the merits of the proposed design approach.
Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
PublisherIEEE
Pages541-544
Number of pages4
Publication statusPublished - 1 Dec 1996
EventProceedings of the IEEE International Conference on Industrial Technology - Shanghai, China
Duration: 5 Dec 19949 Dec 1994

Conference

ConferenceProceedings of the IEEE International Conference on Industrial Technology
Country/TerritoryChina
CityShanghai
Period5/12/949/12/94

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Electronic, Optical and Magnetic Materials

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