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This letter presents an adaptive synchronization scheme between two different kinds of delayed chaotic neural networks (NNs) with partly unknown parameters. An adaptive controller is designed to guarantee the global asymptotic synchronization of state trajectories for two different chaotic NNs with time delay. An illustrative example is given to demonstrate(More)
This paper presents a global asymptotic synchronization scheme for a class of delayed chaotic neural networks when the parameters of the drive system are fully unknown and different from those of the response system. Using the Lyapunov stability theory and the inverse optimal control approach, an adaptive synchronization controller is proposed to guarantee(More)
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