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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49917

Title: Designing Mixed Fuzzy Controller for Uncertain Stochastic Discrete Nonlinear Systems
Authors: H. Y. Qiao
W. J. Chang
C. C. Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Date: 2016-07
Issue Date: 2018-08-28T02:36:28Z
Publisher: International Conference on System Science and Engineering (ICSSE)
Abstract: Abstract: By combining with sliding mode control and fuzzy control, this paper proposes a mixed fuzzy controller to guarantee the stabilization of discrete nonlinear systems with parametric uncertainties and bilinear consequent part, which are represented by the Takagi-Sugeno fuzzy systems. Firstly, the sliding surface is defined and the hitting controller is designed to guarantee that the states of the system will converge to the sliding surface. Secondly, a parallel distributed compensation based fuzzy controller can be obtained by solving the corresponding sufficient conditions, which are derived regarding linear matrix inequalities based on the Lyapunov theory. Finally, a numerical example is shown to demonstrate the effectiveness of proposed mixed fuzzy control method.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49917
Appears in Collections:[輪機工程學系] 演講及研討會

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