Fuzzy state feedback controller for nonlinear systems: Stability analysis and design

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

8 Citations (Scopus)

Abstract

This paper presents the stability analysis of the fuzzy control system consisting of a nonlinear plant and a fuzzy controller and the design of the membership functions of the fuzzy controller. The nonlinear plant is represented by a fuzzy model having p rules. A c-rule fuzzy state-feedback controller is used to close the feedback loop. A design methodology for the fuzzy controller will be provided. Under this design, the stability condition is reduced to p linear matrix inequalities (LMI). An application example on stabilizing a mass-spring-damper system will be given.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages677-681
Number of pages5
Publication statusPublished - 1 Jan 2000
EventFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems - San Antonio, TX, United States
Duration: 7 May 200010 May 2000

Conference

ConferenceFUZZ-IEEE 2000: 9th IEEE International Conference on Fuzzy Systems
CountryUnited States
CitySan Antonio, TX
Period7/05/0010/05/00

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

Cite this