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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40406

Title: Mixed Sliding Mode Fuzzy Control for Discrete-time Nonlinear Stochastic Systems Subject to Variance and Passivity Constraints
Authors: Wen-Jer Chang;Po-Hsun Chen;Cheung-Chieh Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2015-06-26
Issue Date: 2017-01-18T06:58:19Z
Publisher: IET Control Theory and Applications
Abstract: Abstract:In this study, a novel multi-objective sliding mode fuzzy control technique is presented for a class of discrete-time
non-linear stochastic systems that are represented by Takagi–Sugeno (T–S) fuzzy models. Subject to variance and passivity
constraints, parallel distributed compensation based sliding mode fuzzy control approach is investigated for the discretetime
T–S fuzzy models. Combining Lyapunov theory, passivity theory and covariance theory, sufficient conditions are
derived to satisfy stability, passivity and variance constraints. The iterative linear matrix inequality algorithm is employed
in this study to solve these sufficient conditions. The contribution of this study is to develop a novel sliding mode fuzzy
control method such that the closed-loop discrete-time non-linear stochastic system achieves passivity constraint and
individual state variance constraints, simultaneously. At last, the simulations of controlling a discrete-time non-linear ship
steering system are given in a numerical example to demonstrate the effectiveness and usefulness of proposed sliding
mode fuzzy control methodology.
Relation: 9(16), pp.2369-2376
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40406
Appears in Collections:[輪機工程學系] 期刊論文

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