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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26320

Title: STATE VARIANCE CONSTRAINED FUZZY CONTROL VIA OBSERVER-BASED FUZZY CONTROLLERS
Authors: Wen-Jer Chang;Yi-Lin Yeh;Yu-Teh Meng
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: takagi-sugeno fuzzy models;state variance constraints;linear matrix inequalities (LMI)
Date: 2006
Issue Date: 2011-10-20T08:34:48Z
Publisher: Journal of Marine Science and Technology
Abstract: Abstract:In this paper, a state variance constrained design method is developed to deal with the observer-based fuzzy control problem for continuous Takagi-Sugeno (T-S) fuzzy stochastic models. The stability problem considered in this paper is a standard feasibility problem with several Linear Matrix Inequalities (LMIs), which can be solved numerically using the interior-point method. The purpose of this paper aims at finding observer-based fuzzy controllers such that the closed-loop system is asymptotically stable and the state variance performance constraints are satisfied. Finally, a numerical example is included to demonstrate the effectiveness of the proposed controller design method.
Relation: 14(1), pp.49-57
URI: http://ntour.ntou.edu.tw/handle/987654321/26320
Appears in Collections:[輪機工程學系] 期刊論文

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