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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51345

Title: The Adaptive Control of Nonlinear Systems Using the Sugeno -Type of Fuzzy Logic
Authors: Dong-Ling Tsay
Hung-Yuan Chung
Ching-Jung Lee
Contributors: 國立臺灣海洋大學電機工程學系
Date: 1999-04
Issue Date: 2018-11-23T01:12:14Z
Publisher: IEEE TRANSACTIONS ON FUZZY SYSTEMS
Abstract: Abstract: An adaptive fuzzy controller is synthesized from a collection of fuzzy IF-THEN rules. The parameters of the membership functions characterizing the linguistic terms in the fuzzy IF-THEN rules are changed according to some adaptive laws for the purpose of controlling a plant to track a reference trajectory. In the paper, a direct adaptive fuzzy control design method is developed for the general higher order nonlinear continuous systems. We use the Sugeno-type of the fuzzy logic system to approximate the controller. It is proved that the closed-loop system using this adaptive fuzzy controller is globally stable in the sense that all signals involved are bounded. Finally, we apply the method of direct adaptive fuzzy controllers to control an unstable system.
Relation: 7(2) pp.225-229
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51345
Appears in Collections:[電機工程學系] 期刊論文

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