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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26336

Title: Variance constrained fuzzy control for observer-based T-S fuzzy models with minimizing auxiliary performance index
Authors: Wen-Jer Chang;Yi-Lin Yeh;Wei Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Nonlinear stochastic systems;Takagi-Sugeno fuzzy model;control input energy;state variance constraints;linear matrix inequality
Date: 2006
Issue Date: 2011-10-20T08:34:53Z
Publisher: Journal of Intelligent and Fuzzy Systems
Abstract: Abstract:Research on variance constrained control design problems for stochastic systems has received rather extensive attention in recent years. In this paper, this problem is solved by using the fuzzy control with observed-state feedback gains for continuous Takagi-Sugeno (T-S) fuzzy stochastic systems. The proposed control purpose aims at finding observed-state feedback fuzzy controllers such that the closed-loop system is asymptotically stable and the control input energy is minimized subject to the state variance performance constraints. Extending the practical fuzzy control theory incorporating the concept of state estimation, a variance constrained control methodology is developed for the continuous T-S fuzzy stochastic systems. Finally, a numerical is presented to illustrate the application of the present approach.
Relation: 17(1), pp.59-69
URI: http://ntour.ntou.edu.tw/handle/987654321/26336
Appears in Collections:[輪機工程學系] 期刊論文

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