Stability Analysis of Delay Neural Networks With Impulsive Effects
Stability Analysis of Delay Neural Networks With Impulsive Effects
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DOI：
10.1109/tcsii.2005.849032
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发表时间：
2005-08
期刊：
影响因子：
--
通讯作者：
Zhichun Yang;Daoyi Xu
中科院分区：
文献类型：
--
作者：
Zhichun Yang;Daoyi Xu
研究了一类具有脉冲效应和时变时滞的广义神经网络模型。通过建立一个脉冲时滞微分不等式，研究了脉冲时滞神经网络的全局指数稳定性和一致稳定性。我们的充分条件，确保稳定性依赖于时滞和脉冲，并显示时滞和脉冲对神经网络的稳定性。这些结果推广和改进了以前的出版物。
A generalized model of neural networks with time-varying delays and impulsive effects is considered. By establishing an impulsive delay differential inequality, we investigate the global exponential stability and uniform stability of impulsive delay neural networks. Our sufficient conditions ensuring the stability are dependent on delays and impulses and show delay and impulsive effects on the stability of neural networks. The results extend and improve the earlier publications.