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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26200

Title: Discrete Fuzzy Control of Time-Delay Affine Takagi-Sugeno Fuzzy Models with H-infinity Constraint
Authors: W. J. Chang;W. Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Affine Takagi-Sugeno Fuzzy Model;Time-Delay;S-Procedure;Iterative Linear Matrix Inequality
Date: 2006
Issue Date: 2011-10-20T08:34:25Z
Publisher: IEE Proceeding, Part D, Control Theory and Applications
Abstract: Abstract:Takagi-Sugeno (T-S) fuzzy model played an important role in nonlinear control because it can be used to approximate the nonlinear systems. Besides, for the affine T-S fuzzy models the local linear sub-system properties can be easily related to the physics of the controlled nonlinear system. This is one advantage of the affine T-S fuzzy models relative to the homogeneous T-S fuzzy models. In the literature, however, the authors almost focused on the homogeneous T-S fuzzy models and a few researches considered the affine T-S fuzzy models. Moreover, it is known that the time delays exist in physical systems. There is no study to consider the time delay effects in the analysis of affine T-S fuzzy models. Hence, this paper deals with the Parallel Distributed Compensation (PDC) based fuzzy control problem for the discrete time-delay affine T-S fuzzy models. An Iterative Linear Matrix Inequality (ILMI) algorithm is used to solve the Bilinear Matrix Inequality (BMI) problems in this paper. Finally, a numerical simulation for a time-delayed nonlinear truck-trailer system is given to show the applications of the present approach.
Relation: 153(6), pp.745-752
URI: http://ntour.ntou.edu.tw/handle/987654321/26200
Appears in Collections:[輪機工程學系] 期刊論文

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