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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40402

Title: Fuzzy Control of Multiplicative Noised Nonlinear Systems Subject to Actuator Saturation and H-infinity Performance Constraints
Authors: Wen-Jer Chang;Ying-Jie Shih
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2015
Issue Date: 2017-01-18T06:36:54Z
Publisher: Neurocomputing
Abstract: Abstract:In this paper, a H∞ performance constrained fuzzy control approach is investigated for a class of nonlinear stochastic systems subject to actuator saturation. The nonlinear stochastic systems considered in this paper are represented by Takagi-Sugeno fuzzy models with multiplicative noises. According to H∞ performance constraint and actuator saturation, it is shown that the stabilization of multiplicative noised Takagi-Sugeno fuzzy models can be formulated as a convex optimization problem subject to linear matrix inequalities. The proposed fuzzy control method is accomplished based on the Lyapunov stability theory. Simulation study on a continuous-time nonlinear stochastic ship steering system is given to show the performances of the proposed H∞ performance constrained fuzzy control methodology.
Relation: 148, pp.512-520
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40402
Appears in Collections:[輪機工程學系] 期刊論文

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