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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44108

Title: Fuzzy controller design for Takagi–Sugeno fuzzy models with multiplicative noises via relaxed non-quadratic stability analysis
Authors: W. J. Chang;C. H. Chang;C. C. Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2010-08
Issue Date: 2017-11-15T01:48:12Z
Publisher: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Abstract: In this paper, a relaxed non-quadratic stabilization analysis is developed to design fuzzy controllers for non-linear stochastic systems that are constructed by the Takagi–Sugeno (T–S) fuzzy models with multiplicative noises. The multiplicative noise term is introduced in the consequent part of the T–S fuzzy system for representing the stochastic behaviour. According to the proposed T–S fuzzy models, a relaxed non-quadratic technique is employed to derive the stability conditions for closed-loop fuzzy control systems. The relaxed non-quadratic stability conditions developed in this paper lead to the linear matrix inequality (LMI) problem. By solving the proposed LMI problem, the feasible solutions of the fuzzy control gains can be obtained. Finally, two numerical simulations are given to demonstrate the usefulness and applicability of the proposed fuzzy controller design approach.
Relation: 224(8), pp.918-931
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44108
Appears in Collections:[輪機工程學系] 期刊論文

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