Uniformly Stability of Impulsive BAM Neural Networks with Delays

Fengjian Yang, Chaolong Zhang, Dongqing Wu, Xiaojian Hu
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引用次数: 6

Abstract

This paper is concerned with the stability of the impulsive bidirectional associative memory (BAM) neural networks with time delays. By means of Lyapunov function and analysis technique, sufficient conditions are obtained for the existence and uniformly stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. This stability property is independent of the stability behavior of continuous-time BAM model since the impulses do contribution to system's uniformly stability
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时滞脉冲BAM神经网络的一致稳定性
研究了具有时滞的脉冲双向联想记忆神经网络的稳定性问题。利用Lyapunov函数和分析技术,在不假设激活函数有界、单调或可微的情况下,得到了唯一平衡解存在和一致稳定的充分条件。这种稳定性与连续时间BAM模型的稳定性无关,因为脉冲确实对系统的一致稳定性有贡献
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