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 Control for Mimo Uncertain Nonlinear Systems Using Recurrent Wavelet Neural Network
學年100
學期2
出版(發表)日期2012/02/01
作品名稱Adaptive Control for Mimo Uncertain Nonlinear Systems Using Recurrent Wavelet Neural Network
作品名稱(其他語言)
著者Lin, Chih-Min; Ting, Ang-Bung; Hsu, Chun-Fei; Chung, Chao-Ming
單位淡江大學電機工程學系
出版者Singapore: World Scientific Publishing Co. Pte. Ltd.
著錄名稱、卷期、頁數International Journal of Neural Systems 22(1), pp.37-50
摘要Recurrent wavelet neural network (RWNN) has the advantages such as fast learning property, good generalization capability and information storing ability. With these advantages, this paper proposes an RWNN-based adaptive control (RBAC) system for multi-input multi-output (MIMO) uncertain nonlinear systems. The RBAC system is composed of a neural controller and a bounding compensator. The neural controller uses an RWNN to online mimic an ideal controller, and the bounding compensator can provide smooth and chattering-free stability compensation. From the Lyapunov stability analysis, it is shown that all signals in the closed-loop RBAC system are uniformly ultimately bounded. Finally, the proposed RBAC system is applied to the MIMO uncertain nonlinear systems such as a mass-spring-damper mechanical system and a two-link robotic manipulator system. Simulation results verify that the proposed RBAC system can achieve favorable tracking performance with desired robustness without any chattering phenomenon in the control effort.
關鍵字Wavelet neural network;adaptive control;nonlinear system;uniformly ultimately bounded
語言英文
ISSN1793-6462
期刊性質國外
收錄於SCI;
產學合作
通訊作者Lin, Chih-Min; Hsu, Chun-Fei
審稿制度
國別新加坡
公開徵稿
出版型式,電子版,紙本
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!