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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/42249

Title: Robust Analysis of Fuzzy Logic Control Systems with Uncertainties
Authors: Wen-Hou Chu;Chyun-Chau Fuh;Pi-Chen Tung
Contributors: 國立臺灣海洋大學:機械與機電工程學系
Date: 2002-05
Issue Date: 2017-05-02T05:55:39Z
Publisher: IEEE
Abstract: Abstract:In this paper, the robust stability of fuzzy control systems with uncertainties or nonlinearities is studied through the Popov-Lyapunov approach. Since solving an algebraic Riccati equation is the kernel of the proposed algorithm the method is feasible and easy to implement. In additional the proposed method has no fuzzy rule, inference engine, fuzzifier, or defuzzifier limitations. The resultant allowable uncertainty or nonlinearity bounds can help us to estimate the robust stability of a fuzzy control system; then such elements as the appropriate gauges can be chosen so that the stability can be guaranteed.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/42249
Appears in Collections:[機械與機電工程學系] 期刊論文

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