Design and stability analysis of fuzzy model based nonlinear controller for nonlinear systems using genetic algorithm

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

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper presents the stability analysis of fuzzy model based nonlinear control systems, and the design of nonlinear gains and feedback gains of the nonlinear controller using genetic algorithm with arithmetic crossover and non-uniform mutation. A stability condition will be derived based on Lyapunov's stability theory with a smaller number of Lyapunov conditions. The solution of the stability conditions are also determined using GA. An application example of stabilizing a cart-pole inverted pendulum system will be given to show the stabilizability of the nonlinear controller.
Original languageEnglish
Pages (from-to)232-237
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
Volume1
Publication statusPublished - 31 Dec 2002
Event2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

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