期刊
NONLINEAR DYNAMICS
卷 70, 期 3, 页码 2187-2202出版社
SPRINGER
DOI: 10.1007/s11071-012-0609-6
关键词
Quantum Cellular Neural Network (Quantum-CNN); Lipschitz condition chaos synchronization; Pragmatical asymptotical stability; Uncertain variable parameter
资金
- National Science Council, Republic of China [NSC 98-2218-E-011-010]
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.
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