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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40376

Title: Fuzzy Control for Input Constrained Passive Affine Takagi-Sugeno Fuzzy Models: An Application to Truck-Trailer System
Authors: Wen-Jer Chang;Cheung-Chieh Ku;Chien-Hsun Huang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: input constraint;affine Takagi-Sugeno fuzzy model;passive property;Iterative Linear Matrix Inequality.
Date: 2011-10
Issue Date: 2017-01-18T01:19:09Z
Publisher: Journal of Marine Science and Technology
Abstract: Abstract:This paper describes a design of fuzzy controller for the input constrained discrete nonlinear passive systems via affine Takagi-Sugeno (T-S) fuzzy models. The stability conditions are derived based on Lyapunov and passive theories for the closed-loop system. The fuzzy controller design is accomplished by using the concept of Parallel Distribution Compensation (PDC). According to the proposed fuzzy control approach, the controlled system can achieve passive property and the input constraint, simultaneously. The Iterative Linear Matrix Inequality (ILMI) algorithm is applied in this paper to find the feasible solutions for the proposed fuzzy controller design approach. At last, a numerical simulation to the trucktrailer system is provided to demonstrate the applicability and effectiveness of the proposed fuzzy control methodology.
Relation: 19(5), pp.470-482
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40376
Appears in Collections:[輪機工程學系] 期刊論文

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