A Novel Delay-Dependent Global Stability Criterion of Delayed Hopfield Neural Networks

Degang Yang, Qun Liu, Yong Wang
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引用次数: 2

Abstract

This paper analyzes the global asymptotic stability of delayed Hopfield neural networks by utilizing Lyapunov functional method and a generalized inequality technique. A new sufficient condition ensuring global asymptotic stability of the unique equilibrium point of delayed Hopfield neural networks is obtained. The result is related to the size of delays. The obtained conditions show to be less conservative and restrictive than that reported in the literature. A numerical simulation is given to illustrate the efficiency of our result.
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一类新的时滞Hopfield神经网络全局稳定性判据
利用Lyapunov泛函方法和广义不等式技术分析了时滞Hopfield神经网络的全局渐近稳定性。给出了时滞Hopfield神经网络唯一平衡点全局渐近稳定的一个新的充分条件。结果与延迟的大小有关。所获得的条件显示出比文献报道的更少的保守和限制性。数值模拟结果表明了该方法的有效性。
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