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This paper is concerned with the asymptotic synchronization of a class of time-varying delayed chaotic neural networks with parameter uncertainties. Using the drive-response concept, in terms of a linear matrix inequality (LMI) and the Lyapunov stability theory, two sufficient conditions for global asymptotic synchronization of uncertain chaotic delayed neural networks are derived under the differentiable...
Uncertain system parameter identification and self-adaptive synchronization of a class time-delay chaotic systems were proposed. Based on the Lyapunov-krasovskii extensive functional theory, lag synchronization controller and adaptive law of parameters were designed respectively. The simulation with system showed that system synchronization was satisfied and the unknown parameters could be estimated...
In this paper, we investigates synchronization dynamics of complex networks by using proper nonlinear feedback controllers. By consider a new family of modified hyperchaotic systems as a note, globally exponential lag synchronization (GELS) of the complex model is studied, and Lyapunov stability criteria for the globally exponential lag synchronization is derived. Numerical simulations are used to...
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