Existence and stability of almost periodic solution for a general neural networks with impulses effects

Meng Hu, Lili Wang
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Abstract

In this paper, we consider an impulsive nonlinear neural networks with variable time delays. Sufficient conditions ensuring the existence and global exponential stability of a unique almost periodic solution of the system are obtained, by the relation between the solutions of impulsive system and the corresponding non-impulsive system.
具有脉冲效应的一般神经网络的近周期解的存在性和稳定性
本文考虑了具有可变时间延迟的脉冲非线性神经网络。通过脉冲系统解与相应的非脉冲系统解之间的关系,我们得到了确保该系统唯一近周期解的存在性和全局指数稳定性的充分条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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