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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40350

Title: Robust Covariance Control for Discrete System by Takagi-Sugeno Fuzzy Controllers
Authors: Wen-Jer Chang
Chong-Cheng Shing
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Upper bound state covariance control;Discrete-time perturbed stochastic systems;Variance constraints;Discrete-time Takagi-Sugeno fuzzy model
Date: 2004
Issue Date: 2017-01-17T07:56:32Z
Publisher: ISA Transactions
Abstract: Abstract:Variances of the system states or outputs often play vital roles in the problem for performance requirements of many stochastic control systems. For linear stochastic systems, the covariance control technique has been applied to deal with the variance constrained design problem. This paper extends this technique to a class of discrete-time nonlinear perturbed stochastic systems, which are modeled by the Takagi-Sugeno (TS) fuzzy systems. By fuzzy IF-THEN rules, which represent local linear input-output relations, the nonlinear systems can be described by TS fuzzy models. According to the parallel distributed compensation (PDC) concept, the discrete-time nonlinear perturbed stochastic systems can be driven by the linear feedback gains. The purpose of this paper is to provide a method to design an output feedback fuzzy controller, which is based on the upper bound state covariance control technique and PDC concept, for the discrete-time perturbed stochastic systems using TS fuzzy models.
Relation: 43(3), pp. 377-387
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40350
Appears in Collections:[輪機工程學系] 期刊論文

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