An improved Lyapunov function based stability analysis method for fuzzy logic control systems

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic research


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 publicationFUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas
ISBN (Print)0780358775
Publication statusPublished - 2000
EventIEEE International Conference on Fuzzy Systems [FUZZ] -
Duration: 1 Jan 2000 → …


ConferenceIEEE International Conference on Fuzzy Systems [FUZZ]
Period1/01/00 → …


  • Lyapunov methods
  • Mathematical models
  • Piecewise linear techniques
  • System stability

Cite this