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 en
ISSN 0005-1098
期刊性質 國外
收錄於
產學合作
通訊作者 Wang, Wei-Yen
審稿制度 是
國別 GBR
公開徵稿
出版型式 紙本
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