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 CMAC neural control of nonlinear chaotic systems with L2 tracking performance
學年101
學期1
出版(發表)日期2012/08/01
作品名稱Adaptive dynamic CMAC neural control of nonlinear chaotic systems with L2 tracking performance
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Kidlington: Pergamon
著錄名稱、卷期、頁數Engineering Applications of Artificial Intelligence 25(5), pp.997-1008
摘要The advantage of using cerebellar model articulation control (CMAC) network has been well documented in many applications. However, the structure of a CMAC network which will influence the learning performance is difficult to select. This paper proposes a dynamic structure CMAC network (DSCN) which the network structure can grow or prune systematically and their parameters can be adjusted automatically. Then, an adaptive dynamic CMAC neural control (ADCNC) system which is composed of a computation controller and a robust compensator is proposed via second-order sliding-mode approach. The computation controller containing a DSCN identifier is the principal controller and the robust compensator is designed to achieve L2 tracking performance with a desired attenuation level. Moreover, a proportional–integral (PI)-type adaptation learning algorithm is derived to speed up the convergence of the tracking error in the sense of Lyapunov function and Barbalat’s lemma, thus the system stability can be guaranteed. Finally, the proposed ADCNC system is applied to control a chaotic system. The simulation results are demonstrated that the proposed ADCNC scheme can achieve a favorable control performance even under the variations of system parameters and initial point.
關鍵字Adaptive control;Neural control;Sliding-mode control;Chaotic system
語言英文
ISSN1873-6769
期刊性質國外
收錄於SCI;
產學合作
通訊作者許駿飛
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
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