Adaptive control of multivariable fuzzy systems with unknown parameters

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

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

1 Citation (Scopus)

Abstract

This paper presents a method to control multivariable nonlinear systems with unknown parameters using an adaptive technique. First, a fuzzy plant model with unknown membership functions is obtained to describe the unknown nonlinear plant. Then, an adaptive fuzzy controller is designed to close the feedback loop. An adaptive law is derived based on the Lyapunov's stability theory to update the grades of membership such that the membership functions of the fuzzy plant model and the fuzzy controller are made the same with guaranteed close-loop system stability. An application example on stabilizing a nonlinear mass-spring-damper system with unknown parameters is given to illustrate the merits of the proposed adaptive fuzzy controller.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Comp Soc
Pages1758-1761
Number of pages4
Publication statusPublished - 1 Jan 1998
EventProceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) - Aachen, Germany
Duration: 31 Aug 19984 Sep 1998

Conference

ConferenceProceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4)
Country/TerritoryGermany
CityAachen
Period31/08/984/09/98

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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