教師資料查詢 | 類別: 期刊論文 | 教師: 李宜勳 LI, I-HSUN (瀏覽個人網頁)

標題:An on-line robust and adaptive T-S fuzzy-neural controller for more general unknown systems
學年96
學期2
出版(發表)日期2008/03/01
作品名稱An on-line robust and adaptive T-S fuzzy-neural controller for more general unknown systems
作品名稱(其他語言)
著者W.Y.Wang; Y.H. Chien; I.H. Li
單位
出版者
著錄名稱、卷期、頁數International Journal of Fuzzy Systems 10(1), p.33-43
摘要This paper proposes a novel method of on-line modeling via the Takagi-Sugeno (T-S) fuzzy-neural model and robust adaptive control for a class of general unknown nonaffine nonlinear systems with external disturbances. Although studies about adaptive T-S fuzzy-neural controllers have been made on some nonaffine nonlinear systems, little is known on the more complicated and general nonlinear systems. Compared with the previous approaches, the contribution of this paper is an investigation of the more general unknown nonaffine nonlinear systems using on-line adaptive T-S fuzzy-neural controllers. Instead of modeling these unknown systems directly, the T-S fuzzy-neural model approximates a so-called virtual linearized system (VLS), with modeling errors and external disturbances. We prove that the closed-loop system controlled by the proposed controller is robust stable and the effect of all the unmodeled dynamics, modeling errors and external disturbances on the tracking error is attenuated under mild assumptions. To illustrate the effectiveness and applicability of the proposed method, simulation results are given in this paper.
關鍵字
語言英文
ISSN
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別德國
公開徵稿
出版型式,電子版
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