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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26319

Title: Stability Analysis and Controller Design for Nonlinear Stochastic DPSS via Fuzzy Modeling Approach
Authors: W. J. Chang;C. C. Ku;P. H. Huang;W. Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Multiplicative Noise;Passivity Theory;LMI Technique;Stochastic T-S Fuzzy Model
Date: 2007
Issue Date: 2011-10-20T08:34:47Z
Publisher: 2007 International Conference Maritime Technology
Abstract: Abstract:This paper addresses the feedback stabilization problems for the nonlinear stochastic Dynamic Positioning Systems for Ship (DPSS) with external disturbances. According to the Takagi-Sugeno (T-S) fuzzy model, the stabilization problems of DPSS can be analyzed and designed via linear controller design method theory. Through the method, the sufficient condition is proposed to guarantee the stochastic DPSS with external disturbance can be achieved mean square stable by the designed fuzzy controller. In addition to stability analysis, the performance of attenuating external disturbance input is achieved via passivity theory. Therefore, the Linear Mat-rix Inequality (LMI) technique is applied to calculate the sufficient conditions to design the fuzzy controller.
Relation: pp.65-71
URI: http://ntour.ntou.edu.tw/handle/987654321/26319
Appears in Collections:[輪機工程學系] 演講及研討會

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