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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26273

Title: Fuzzy Control with Input Energy and State Variance Constraints for Perturbed Ship Steering Systems
Authors: Wen-Jer Chang;Sheng-Ming Wu
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Ship Steering Systems;Takagi-Sugeno Fuzzy Stochastic Systems;Control Input Energy;State Variance Constraint;Linear Matrix Inequality
Date: 2006-10-20
Issue Date: 2011-10-20T08:34:38Z
Publisher: International Journal of Computer Applications in Technology
Abstract: abstract:In this paper, a fuzzy controller design problem is considered for the nonlinear perturbed ship steering systems. The nonlinear perturbed ship steering system is transformed into a Takagi-Sugeno (T-S) fuzzy model, which has similar dynamics to the original nonlinear system. By using linear feedback controller design technology, a nonlinear fuzzy controller is developed for the perturbed T-S type ship steering model. Building on the nonlinear fuzzy controller, a number of most important performance constraints in fuzzy control systems are addressed. These include stability conditions, minimum control input energy and individual state variance constraints. Finally, a numerical simulation is given to show the effects of the proposed fuzzy control methodology.
Relation: 27(2-3), pp.133-143
URI: http://ntour.ntou.edu.tw/handle/987654321/26273
Appears in Collections:[輪機工程學系] 期刊論文

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