Exponential stability of BAM type Cohen-Grossberg neural networks with delays and impulsive on time scales

Chaolong Zhang, Wensi Ding, Fengjian Yang, Qian Wang
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Abstract

In this paper, we investigate impulsive effects on the stability a class of BAM type Cohen-Grossberg neural networks with delays and impulses. We obtain some sufficient conditions ensuring exponential stability of the impulsive system on time scales. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks(or on time scales).
时间尺度上具有时滞和脉冲的BAM型Cohen-Grossberg神经网络的指数稳定性
本文研究了脉冲对一类具有时滞和脉冲的BAM型Cohen-Grossberg神经网络稳定性的影响。得到了脉冲系统在时间尺度上指数稳定的几个充分条件。这些结果扩展和改进了最近关于脉冲神经网络和非脉冲神经网络(或时间尺度上)的一些工作。
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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