时间尺度上具有变延迟和脉冲的BAM型Cohen-Grossberg神经网络的指数稳定性

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI:10.1109/IWACI.2010.5585130

Chaolong Zhang, Fengjian Yang, Wei Li, Jianfu Yang

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引用次数: 0

摘要

本文研究了脉冲对变时滞BAM型Cohen-Grossberg神经网络稳定性的影响，得到了脉冲变时滞系统在时间尺度上指数稳定性的充分条件。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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Exponential stability of BAM type Cohen-Grossberg neural networks with variable delays and impulsive on time scales

In this paper, we investigate impulsive effects on the stability of BAM type Cohen-Grossberg neural networks with variable delays and obtain some sufficient conditions ensuring exponential stability of the impulsive variable delays 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).

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Third International Workshop on Advanced Computational Intelligence

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