標題: Synchronization of chaotic system with uncertain variable parameters by linear coupling and pragmatical adaptive tracking
作者: Yang, Cheng-Hsiung
Li, Shih-Yu
Tsen, Pu-Chien
電控工程研究所
腦科學研究中心
Institute of Electrical and Control Engineering
Brain Research Center
關鍵字: Quantum Cellular Neural Network (Quantum-CNN);Lipschitz condition chaos synchronization;Pragmatical asymptotical stability;Uncertain variable parameter
公開日期: 1-十一月-2012
摘要: We study the synchronization of general chaotic systems which satisfy the Lipschitz condition only, with uncertain variable parameters by linear coupling and pragmatical adaptive tracking. The uncertain parameters of a system vary with time due to aging, environment, and disturbances. A sufficient condition is given for the asymptotical stability of common zero solution of error dynamics and parameter update dynamics by the Ge-Yu-Chen pragmatical asymptotical stability theorem based on equal probability assumption. Numerical results are studied for a Lorenz system and a quantum cellular neural network oscillator to show the effectiveness of the proposed synchronization strategy.
URI: http://dx.doi.org/10.1007/s11071-012-0609-6
http://hdl.handle.net/11536/20672
ISSN: 0924-090X
DOI: 10.1007/s11071-012-0609-6
期刊: NONLINEAR DYNAMICS
Volume: 70
Issue: 3
起始頁: 2187
結束頁: 2202
顯示於類別:期刊論文


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  1. 000310089000039.pdf