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Relaxed stabilization conditions of T-S fuzzy systems using piecewise lyapunov function based switching fuzzy controller

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5 Author(s)
Ying-Jen Chen ; Department of Electrical Engineering, National Central University, No.300, Jhongda Rd., Jhongli, 32001, Taiwan (R.O.C.) ; Hiroshi Ohtake ; Kazuo Tanaka ; Wen-June Wang
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Based on the piecewise Lyapunov function, this study proposes a switching fuzzy controller, which switches depending on the Lyapunov function, to get relaxed stabilization conditions for the continuous T-S fuzzy system. The relaxed conditions are bilinear with the s-procedure parameters, therefore the particle swarm optimization (PSO) algorithm is utilized with the LMI tool to solve the relaxed conditions. Two simulation examples are given to show the relaxation and effectiveness of the proposed method.

Published in:

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

Date of Conference:

20-24 Aug. 2009