教師資料查詢 | 類別: 期刊論文 | 教師: 許駿飛 Hsu, Chun-Fei (瀏覽個人網頁)

標題:Adaptive dynamic RBF neural controller design for a class of nonlinear systems
學年100
學期1
出版(發表)日期2011/12/01
作品名稱Adaptive dynamic RBF neural controller design for a class of nonlinear systems
作品名稱(其他語言)
著者Hsu, Chun-Fei
單位淡江大學電機工程學系
出版者Amsterdam: Elsevier BV
著錄名稱、卷期、頁數Applied Soft Computing 11(8), pp.4607–4613
摘要In this paper, an adaptive DRBF neural control (ADNC) system which is composed of a neural controller and a smooth compensator is proposed. The neural controller utilizes a dynamic radial basis function (DRBF) network to online mimic an ideal controller and the smooth compensator is designed to eliminate the effect of the approximation error between the ideal controller and neural controller. The DRBF network can self-organizing its network structure. All the controller parameters of the proposed ADNC system are online tuned in the Lyapunov sense, thus the stability analytic shows the system output can exponentially converge to a small neighborhood of the trajectory command. Finally, the proposed ADNC system is applied to a chaotic system and a DC motor. Simulation and experimental results verify that a favorable tracking performance and no chattering phenomena can be achieved by the proposed ADNC system.
關鍵字Adaptive control; Neural control; Lyapunov stability theorem; DC motor; Chaotic system
語言英文
ISSN1568-4946
期刊性質國外
收錄於SCI
產學合作
通訊作者Hsu, Chun-Fei
審稿制度
國別荷蘭
公開徵稿
出版型式紙本
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