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Exponential synchronization of memristive Cohen-Grossberg neural networks with hybrid time delays

机译:混合时间延迟的忆内Cohen-Grossberg神经网络的指数同步

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The paper focuses on the issue of global exponential synchronization for a type of impulsive memristive Cohen-Grossberg neural networks with hybrid time delays. By applying the impulsive functional differential equations, constructing suitable Lyapunov function and contradiction method, several corresponding easy-to-check criteria are derived. Moreover, the research findings in this paper can be easily used to verify or improve the conditions deduced in most of existing literature related to the stability or synchronization for impulsive memristive neural networks. A simulation is represented to checkout the validity of the theory at the end of the paper.
机译:本文侧重于具有杂种时间延迟的一种冲动的忆内Cohen-Grossberg神经网络的全球指数同步问题。 通过施加脉冲功能微分方程,构建合适的Lyapunov函数和矛盾方法,推导出几种相应的易于检查标准。 此外,本文的研究结果可以很容易地用于验证或改善大多数现有文献中推导的条件,与脉冲忆内神经网络的稳定性或同步相关。 表示模拟以结束纸张结束的理论的有效性。

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