Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Paper Publications
Stabilization for discrete-time fuzzy systems with Takagi-Sugeno's models: reduce the complexity
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Indexed by:Journal Article
Date of Publication:2010-12-01
Journal:SCIENCE CHINA-INFORMATION SCIENCES
Included Journals:Scopus、SCIE
Volume:53
Issue:12
Page Number:2506-2513
ISSN:1674-733X
Key Words:Takagi-Sugeno's fuzzy model; non-quadratic Lyapunov function; linear matrix inequality
Abstract:The problem of sate feedback control for discrete-time fuzzy systems with Takagi-Sugeno's models is investigated to reduce the computational burden. A stabilization condition is obtained by applying a new Lyapunov function. It is shown that our new theorem is equivalent to an existing result in guaranteeing the stability of the fuzzy system but consumes less computational time than the latter. The effectiveness and the superiority of the proposed design approach are demonstrated by an example borrowed from the literature.