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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49896

Title: Multi-Constrained Fuzzy Intelligent Control for Uncertain Discrete Systems with Complex Noises: An Application to Ship Steering Systems
Authors: Wen-Jer Chang
Cheung-Chieh Ku
Bo-Jyun Huang
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2017-03
Issue Date: 2018-08-27T05:40:24Z
Publisher: Journal of Marine Engineering and Technology
Abstract: Abstract: In this paper, a performance constrained fuzzy controller design is investigated for the nonlinear uncertain discrete-time ship steering system with complex noises. The performance constraints considered in this paper include individual state variance constraint and passivity constraint. The nonlinear discrete-time ship steering system considered in this paper is represented by a discrete-time Takagi–Sugeno fuzzy model with perturbations, additional noise and multiplicative noise. According to this complex nonlinear discrete-time stochastic system, a fuzzy controller design approach is investigated based on Lyapunov theory, passivity theory and covariance control theory. Some sufficient conditions are derived to satisfy stability constraint, individual state variance constraint and passivity constraint, simultaneously. These sufficient conditions are constructed as linear matrix inequality forms that can be solved by the convex optimal programming algorithm. Finally, some simulation results are provided to verify the validity and applicability of the proposed fuzzy control approach with multiple performance constraints.
Relation: 16(1) pp.11-21
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49896
Appears in Collections:[輪機工程學系] 期刊論文

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