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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26220

Title: Design of Takagi-Sugeno Fuzzy Region Controller Based on Rule Reduction, Robust Control, and Switching Concept
Authors: Chein-Chung Sun;Sheng-Ming Wu;Hung-Yuan Chung;Wen-Jer Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: general Takagi-Sugeno fuzzy systems;fuzzy region controller;robust control techniques;linear matrix inequality (LMI) optimization
Date: 2007-03
Issue Date: 2011-10-20T08:34:29Z
Publisher: Journal of Dynamic Systems, Measurement, and Control
Abstract: Abstract:This paper presents a new structure of Takagi-Sugeno (T-S) fuzzy controllers, which is called T-S fuzzy region controller or TSFRC for short. The fuzzy region concept is used to partition the plant rules into several fuzzy regions so that only one region is fired at the instant of each input vector being coming. Because each fuzzy region contains several plant rules, the fuzzy region can be regarded as a polytopic uncertain model. Therefore, robust control techniques would be essential for designing the feedback gains of each fuzzy region. To improve the speed of response, the decay rate constraint is imposed when deriving the stability conditions with Lyapunov stability criterion. To design TSFRC with the linear matrix inequality (LMI) solver, all stability conditions are represented in terms of LMIs. Finally, a two-link robot system is used to prove the feasibility and validity of the proposed method.
Relation: 129(2), pp.163-170
URI: http://ntour.ntou.edu.tw/handle/987654321/26220
Appears in Collections:[輪機工程學系] 期刊論文

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