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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26496

Title: Fuzzy controller design for passive continuous-time affine T–S fuzzy models with relaxed stability conditions
Authors: Wen-Jer Chang;Cheung-Chieh Ku;Pei-Hwa Huang;Wei Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Affine T–S fuzzy model;Passivity theory;Iterative Linear Matrix Inequality
Date: 2009-07
Issue Date: 2011-10-20T08:36:13Z
Publisher: ISA Transactions
Abstract: Abstract:In order to design a fuzzy controller for complex nonlinear systems, the work of this paper deals with developing the relaxed stability conditions for continuous-time affine Takagi–Sugeno (T–S) fuzzy models. By applying the passivity theory and Lyapunov theory, the relaxed stability conditions are derived to guarantee the stability and passivity property of closed-loop systems. Based on these relaxed stability conditions, the synthesis of fuzzy controller design problem for passive continuous-time affine T–S fuzzy models can be easily solved via the Optimal Convex Programming Algorithm (OCPA) and Linear Matrix Inequality (LMI) technique. At last, a simulation example for the fuzzy control of a nonlinear synchronous generator system is presented to manifest the applications and effectiveness of proposed fuzzy controller design approach.
Relation: 48(3), pp.295-303
URI: http://ntour.ntou.edu.tw/handle/987654321/26496
Appears in Collections:[輪機工程學系] 期刊論文
[電機工程學系] 期刊論文

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