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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26333

Title: T–S region-based fuzzy control with multiple performance constraints
Authors: Sheng-Ming Wu;Chein-Chung Sun;Wen-Jer Chang;Hung-Yuan Chung
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Region-based fuzzy control;Takagi–Sugeno fuzzy models;Linear Matrix Inequality
Date: 2007-02
Issue Date: 2011-10-20T08:34:52Z
Publisher: ISA Transactions
Abstract: Abstract:Takagi–Sugeno fuzzy control problems with minimizing H2/H∞ norm are investigated in this paper. A redesigned T–S fuzzy model and controller are called a T–S Region-based Fuzzy Model (TSRFM) and a T–S Region-based Fuzzy Controller (TSRFC), respectively, which are derived from the fuzzy region concept and the robust control technique. The fuzzy region concept is used to divide the general plant rules into several fuzzy regions and the robust control technique is used to stabilize all plant rules of each fuzzy region. In this case, the stability conditions with H2/H∞ performance are derived from Lyapunov criterion, which are expressed in terms of LMIs. For the fuzzy model involving large plant rules, the proposed idea greatly reduces the total number of LMIs and controller rules so that TSRFC is easy to implement with simple hardware. Although the controller rules are reduced, TSRFC is able to provide performance as good as former designs.
Relation: 46(1), pp.85-93
URI: http://ntour.ntou.edu.tw/handle/987654321/26333
Appears in Collections:[輪機工程學系] 期刊論文

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