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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26533

Title: Robust Fuzzy Control for Discrete Perturbed Time-Delay Affine Takagi-Sugeno Fuzzy Models
Authors: Wen-Jer Chang;Wei-Han Huang;Cheung-Chieh Ku
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Iterative linear matrix inequality;perturbed time-delay systems;S-procedure;Takagi-Sugeno fuzzy model
Date: 2011-02-01
Issue Date: 2011-10-20T08:36:43Z
Publisher: International Journal of Control, Automation and Systems
Abstract: Abstract:The purpose of this paper is to study the stability analysis and controller synthesis principles of Discrete Perturbed Time-Delay Affine (DPTDA) Takagi-Sugeno (T-S) fuzzy models. In general, the T-S fuzzy model is a weighted sum of some linear subsystems via fuzzy membership functions. This paper considers fuzzy rules include both linear nominal parts and uncertain parameters in the time-delay affine T-S fuzzy model. For DPTDA T-S fuzzy models, the T-S fuzzy control scheme is used to confront the H∞ performance constraints. Some sufficient conditions are derived on robust H∞ disturbance attenuation in which both robust stability and a prescribed performance are required to be achieved. In order to find suitable fuzzy controllers, the Iterative Linear Matrix Inequality (ILMI) algorithm is employed to solve these sufficient conditions. At last, a numerical simulation for the nonlinear truck-trailer system is given to show the applications of the present design approach.
Relation: 9(1), pp.86-97
URI: http://ntour.ntou.edu.tw/handle/987654321/26533
Appears in Collections:[輪機工程學系] 期刊論文

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