教師資料查詢 | 類別: 期刊論文 | 教師: 李祖添 TSU-TIAN LEE (瀏覽個人網頁)

標題:Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws
學年98
學期2
出版(發表)日期2010/05/01
作品名稱Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws
作品名稱(其他語言)
著者Wang, Wei-Yen; Chien, Yi-Hsing; Leu, Yih-Guang; Lee, Tsu-Tian
單位淡江大學電機工程學系
出版者Kidlington: Pergamon Press
著錄名稱、卷期、頁數Automatica 46(5), pp.852–863
摘要This paper describes a novel design of an on-line Takagi–Sugeno (T–S) fuzzy-neural controller for a class of general multiple input multiple output (MIMO) systems with unknown nonlinear functions and external disturbances. Instead of modeling the unknown systems directly, the T–S fuzzy-neural model approximates a virtual linearized system (VLS) of a real system with modeling errors and external disturbances. Compared with previous approaches, the main contribution of this paper is an investigation of more general MIMO unknown systems using on-line adaptive T–S fuzzy-neural controllers. In this paper, we also use projection update laws, which generalize the projection algorithm, to tune the adjustable parameters. This prevents parameter drift and ensures that the parameter matrix is bounded away from singularity. We prove that the closed-loop system controlled by the proposed controller is robust stable and the effect of all the modeling errors and external disturbances on the tracking error can be attenuated. Finally, two examples covering four cases are simulated in order to confirm the effectiveness and applicability of the proposed approach in this paper.
關鍵字T–S fuzzy-neural model; On-line modeling; Nonaffine nonlinear systems; Projection update law
語言英文
ISSN0005-1098
期刊性質國外
收錄於
產學合作
通訊作者Wang, Wei-Yen
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
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