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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49892

Title: Sliding Mode Fuzzy Control for Nonlinear Stochastic Systems Subject to Pole Assignment and Variance Constraint
Authors: Wen-Jer Chang
Hong-Yu Qiao
Cheung-Chieh Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Sliding mode fuzzy control
Takagi–Sugeno fuzzy model
Output performance requirement
State performance requirement
Pole assignment
Date: 2018-03
Issue Date: 2018-08-27
Publisher: 資訊科學 Information Sciences
Abstract: Abstract: A novel sliding mode fuzzy control problem of nonlinear stochastic systems is discussed subject to pole assignment and multiple performance requirements via Takagi–Sugeno fuzzy model approach in this paper. The requirements considered in this paper include output variance constraint, individual state variance constraint, while all poles are assigned into a specified disk. First, a reaching controller is designed to achieve a proposed integral sliding surface. Moreover, a fuzzy controller based on parallel distributed compensation is designed via full state feedback scheme to guarantee pole assignment and multiple performance requirements. Based on Lyapunov theory, some sufficient conditions are derived into linear matrix inequality form that can be directly solved by the convex optimization algorithm. Through using the proposed design method, a sliding mode fuzzy controller can be established to guarantee multiple performance constraints for nonlinear stochastic systems. Finally, a numerical example for the control of nonlinear synchronous generator is employed to demonstrate the effectiveness and application of the proposed design method.
Relation: 432 pp.133-145
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49892
Appears in Collections:[輪機工程學系] 期刊論文

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