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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/13528


    Title: Adaptive Control and Synchronization of Uncertain Unified Chaotic System by Cellular Neural Networks
    Authors: 鄭朝榮
    Keywords: adaptive synchronization
    unified chaotic system
    cellular neural networks
    Date: 2011-03-28
    Issue Date: 2011-04-27 17:48:24 (UTC+8)
    Abstract: This paper presents the adaptive control and synchronization scheme of uncertain unified chaotic system using cellular neural networks. The unified chaotic system is sensitive to its system parameter and can display Lorenz system, Lü system and Chen system, respectively. Based on Lyapunov stability theory, the adaptive controller with its corresponding parameter update law is designed such that the different unified chaotic system can be controlled or synchronized asymptotically. In addition, the proposed method guarantees the controller is independent of the uncertain parameter. A numerical simulation is used to demonstrate the effectiveness of the proposed scheme.
    Relation: 2010 International Symposium on Computer, Communication, Control and Automation
    Appears in Collections:[資訊工程系所] 會議論文

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