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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49920

Title: Variance and Passivity Constrained Fuzzy Control for Continuous Perturbed Fuzzy Systems with Multiplicative Noises
Authors: W. J. Chang
B. J. Huang
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2014-07
Issue Date: 2018-08-28T03:02:54Z
Publisher: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Abstract: Abstract: In this paper, a fuzzy controller design problem for continuous perturbed nonlinear stochastic systems with state multiplicative noises is investigated. In order to simultaneously achieve variance and passivity constrained performances, some sufficient conditions are derived based on the Lyapunov theory. These sufficient conditions are in term of the linear matrix inequality forms that can be solved by the convex optimal programming algorithm. Besides, the parallel distributed compensation concept is employed to construct the fuzzy controllers. Finally, a numerical simulation example is given to show the effectiveness and applicability of the proposed fuzzy control methodology.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49920
Appears in Collections:[輪機工程學系] 演講及研討會

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