National Taiwan Ocean University Institutional Repository:Item 987654321/26320
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题名: STATE VARIANCE CONSTRAINED FUZZY CONTROL VIA OBSERVER-BASED FUZZY CONTROLLERS
作者: Wen-Jer Chang;Yi-Lin Yeh;Yu-Teh Meng
贡献者: 國立臺灣海洋大學:輪機工程學系
关键词: takagi-sugeno fuzzy models;state variance constraints;linear matrix inequalities (LMI)
日期: 2006
上传时间: 2011-10-20T08:34:48Z
出版者: Journal of Marine Science and Technology
摘要: 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.
關聯: 14(1), pp.49-57
URI: http://ntour.ntou.edu.tw/handle/987654321/26320
显示于类别:[輪機工程學系] 期刊論文

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