期刊論文

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