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Global synchronization of weighted cellular neural network with time-varying coupling delays

机译:具有时变耦合时滞的加权细胞神经网络的全局同步

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摘要

New sufficient conditions are derived to guarantee the global synchronization of the weighted cellular neural network with multiple time delays. Based on Lyapunov theory, this paper proposes an adaptive feedback controlling method to identify the exact topology of a rather general weighted cellular neural network system with time-varying delays and then considers the synchronization of the neural network with different nodes dynamics. The parameters in this paper are very few and experiments show that the methods presented in this paper are of high application in global synchronization.
机译:得出了新的充分条件,以保证具有多个时间延迟的加权细胞神经网络的全局同步。基于李雅普诺夫理论,本文提出了一种自适应反馈控制方法,以识别具有时变时延的相当普通的加权细胞神经网络系统的确切拓扑,然后考虑具有不同节点动力学的神经网络的同步性。本文的参数很少,实验表明本文提出的方法在全局同步中具有较高的应用价值。

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