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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44127

Title: Fuzzy Control of Nonlinear Stochastic Systems with Actuator Saturation and Performance Constraints
Authors: Wen-Jer Chang;Ying-Jie Shih;Cheung-Chieh Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Actuators;Stochastic processes;Noise;Asymptotic stability;Stability analysis;Linear matrix inequalities;Fuzzy control
Date: 2014
Issue Date: 2017-11-15T03:27:47Z
Publisher: the 9th IEEE Conference on Industrial Electronics and Applications
Abstract: This paper discusses the problem of actuator saturation constrained fuzzy controller design for the nonlinear stochastic continuous-time systems with external disturbances. By employing the Takagi-Sugeno fuzzy modeling approach, the nonlinear stochastic system is described by several sub-linear systems and corresponding membership functions. The sub-linear systems are represented by linear stochastic differential equations. For solving the proposed fuzzy control problem, the sufficient conditions are derived via Lyapunov theory and Itô's formula. Moreover, the H∞ control scheme is used to constrain the effect of external disturbance on the system. According to the derived sufficient conditions, the asymptotical stability and H∞ performance for nonlinear stochastic continuous-time system are achieved by the designed fuzzy controller. Finally, a numerical example for the nonlinear dynamic ship system is applied to demonstrate the effectiveness and usefulness of the proposed fuzzy controller design method.
Relation: pp.695-700
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44127
Appears in Collections:[輪機工程學系] 演講及研討會

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