Improved Lyapunov function based stability analysis method for fuzzy logic control systems

L. K. Wong, Hung Fat Frank Leung, Peter K S Tam

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

4 Citations (Scopus)

Abstract

Many existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. This paper proposes an improved method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example will be given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages429-434
Number of pages6
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

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