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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40396

Title: Fuzzy Stabilization for Nonlinear Discrete Ship Steering Stochastic Systems Subject to State Variance and Passivity Constraints
Authors: Wen-Jer Chang;Bo-Jyun Huang;Po-Hsun Chen
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2014-01-09
Issue Date: 2017-01-18T05:56:57Z
Publisher: Mathematical Problems in Engineering
Abstract: Abstract:For nonlinear discrete-time stochastic systems, a fuzzy controller design methodology is developed in this paper subject to state variance constraint and passivity constraint. According to fuzzy model based control technique, the nonlinear discrete-time stochastic systems considered in this paper are represented by the discrete-time Takagi-Sugeno fuzzy models with multiplicative noise. Employing Lyapunov stability theory, upper bound covariance control theory, and passivity theory, some sufficient conditions are derived to find parallel distributed compensation based fuzzy controllers. In order to solve these sufficient conditions, an iterative linear matrix inequality algorithm is applied based on the linear matrix inequality technique. Finally, the fuzzy stabilization problem for nonlinear discrete ship steering stochastic systems is investigated in the numerical example to illustrate the feasibility and validity of proposed fuzzy controller design method.
Relation: 2014, Article ID 598618, pp.1-12
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40396
Appears in Collections:[輪機工程學系] 期刊論文

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