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Relaxed stability conditions for discrete-time fuzzy-model-based control systems

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3 Author(s)
Wong, G.Y. ; Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China ; Leung, F.H. ; Hak-Keung Lam

This paper presents the stability conditions for discrete-time fuzzy-model-based control systems subject to parameter uncertainties. The nonlinear plant subject to parameter uncertainties is represented by a Takagi-Sugeno fuzzy model with uncertain grades of memberships. Relaxed stability conditions for this class of fuzzy control systems will be derived to guarantee the system stability. A numerical example will be presented to show the effectiveness of the proposed approach.

Published in:

Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on

Date of Conference:

20-24 Aug. 2009