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Title: Fuzzy Control via Imperfect Premise Matching Approach for Discrete Takagi-Sugeno Fuzzy Systems with Multiplicative Noises
Authors: Wen-Jer Chang;Che-Pin Kuo;Cheung-Chieh Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Takagi-Sugeno fuzzy models;multiplicative noises;Discrete Jensen Inequality;Linear Matrix Inequality
Date: 2016
Issue Date: 2017-11-15T02:39:51Z
Publisher: Journal of Marine Science and Technology
Abstract: In this paper, a fuzzy controller design problem is considered
for the discrete-time stochastic Takagi-Sugeno fuzzy
systems. The main purpose of this paper is to provide a less
conservative fuzzy controller design method for the discretetime
nonlinear stochastic systems, which are modeled by the
T-S fuzzy models. Based on the concept of imperfect premise
matching, the fuzzy controller is designed without the limitation
imposed from sharing the same membership functions of
fuzzy model. In other words, the imperfect premise matching
technique provides a generalization approach in designing
fuzzy controller. Moreover, the flexibility and robustness of proposed
fuzzy controller design approach can be further enhanced
than the well-known parallel distributed compensation
method. Moreover, based on the Lyapunov function, the stability
conditions are referred to linear matrix inequality problems
for applying the convex optimal algorithm. Finally, the
nonlinear stochastic truck-trailer system is provided to show
the utility of the proposed fuzzy controller design method.
Relation: 24(5), pp.949-957
Appears in Collections:[Department of Marine Engineering] Periodical Articles

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