Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects
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摘要: 讨论了一类具有变时滞和脉冲效应的Hopfield神经网络模型.利用按段连续的向量Liapunov思想方法,研究了脉冲时滞神经网络的全局指数稳定性.例子及其数值仿真说明了结果的有效性.推广和改进了已有文献的一些结果.Abstract: A class of Hopfield neural network with time-varying delays and impulsive effects is concerned.Some sufficient conditions ensuring the global exponential stability of impulsive delay neural networks by applying the piecewise continuous vector Lyapunov function were obtained.An example and its simulation are given to illustrate the effectiveness of the results.
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Key words:
- neural network /
- impulse /
- varying delay /
- stability
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