ABSTRACT

In this manuscript, inertial neural networks with both time- varying and distributed delays are studied. Applying inequality techniques and Lyapunov function approach, a new sufficient condition that guarantees the existence and exponential stability of periodic solutions for the addressed networks is presented. The obtained results supplement some earlier publications that deal with the periodic solutions of inertial neural networks with time- varying delays. Computer simulations are displayed to check the derived analytical results.

中文翻译：

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具有时变和分布延迟的惯性神经网络全局指数稳定性的新发现

摘要

在这篇手稿中，研究了具有时变和分布式延迟的惯性神经网络。应用不等式技术和李雅普诺夫函数方法，提出了保证所寻址网络周期解的存在性和指数稳定性的新充分条件。获得的结果补充了一些早期的出版物，这些出版物处理了具有时变延迟的惯性神经网络的周期解。显示计算机模拟以检查导出的分析结果。