教師資料查詢 | 類別: 期刊論文 | 教師: 劉寅春 Peter Liu (瀏覽個人網頁)

標題:Adaptive Synchronization Design for Chaotic Systems via a Scalar Driving Signal
學年90
學期1
出版(發表)日期2002/01/01
作品名稱Adaptive Synchronization Design for Chaotic Systems via a Scalar Driving Signal
作品名稱(其他語言)
著者Lian, Kuang-yow; Liu, Peter; Chiang, Tung-sheng; Chiu, Chian-song
單位淡江大學電機工程學系
出版者Piscataway: Institute of Electrical and Electronics Engineers
著錄名稱、卷期、頁數IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 49(1), pp.17-27
摘要Using a scalar driving signal, synchronization for a class of chaotic systems has been developed. For chaotic systems characterized by nonlinearity, which depend only on the available output, a unified approach is developed by carefully extending the conventional adaptive observer design. For exactly known chaotic systems, an exponential convergence of synchronization is achieved in the large. When mismatched parameters are presented, this method performs the asymptotic synchronization of output state in the large. The convergence of the estimated parameter error is related to an implicit condition of persistent excitation (PE) on internal signals. From the broad spectrum characteristics of the chaotic driving signal, we reformulate the implicit PE condition as an condition on injection inputs. If this condition is satisfied, the estimated parameters converge to true values and exponential synchronization of all internal states is guaranteed. Two typical examples, including Duffing-Holmes system and Chua's circuit, are considered as illustrations to demonstrate the effectiveness of the adaptive synchronizer. Furthermore, the robustness of adaptive synchronization in the presence of measurement noise is considered where the update law is modified. Finally, numerical simulations and DSP-based experiments show the validity of theoretical derivations
關鍵字
語言英文(美國)
ISSN1057-7122
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式電子版
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