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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49921

Title: Intelligent Fuzzy Control with Multiple Constraints for a Model Car System with Multiplicative Disturbance
Authors: Wen-Jer Chang
Po-Hsun Chen
Bo-Jyun Huang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Intelligent Fuzzy Control
Discrete Takagi-Sugeno Fuzzy Model
Model Car System
Multiplicative Disturbance
Date: 2014-04
Issue Date: 2018-08-28T03:14:53Z
Abstract: Abstract: A multiple constrained fuzzy controller design methodology is developed
in this paper to achieve state variance constraint and passivity constraint
for a model car system. The model car system considered in this paper is
represented by a discrete-time Takagi-Sugeno fuzzy model with multiplicative
disturbance. The proposed fuzzy controller is accomplished by using the technique
of parallel distributed compensation. Based on the parallel distributed
compensation technique, the sufficient conditions are derived to achieve
variance constraint, passivity constraint and stability performance constraint,
simultaneously. By solving these sufficient conditions with linear matrix inequality
technique, the multiple constrained fuzzy controllers can be obtained
for the model car system. At last, a numerical simulation example is provided to
illustrate the feasibility and validity of the proposed fuzzy control method.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/49921
Appears in Collections:[輪機工程學系] 演講及研討會

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