Periodicity of Cohen-Grossberg-type fuzzy neural networks with distributed delays and impulses

Xiao Wang, Zuoan Li
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引用次数: 4

Abstract

In this paper, a class of Cohen-Grossberg-type fuzzy neural networks with distributed delays and impulses is investigated. By employing differential inequality and M-matrix theory, some sufficient conditions ensuring the existence and global exponential stability of the periodic oscillatory solution for Cohen-Grossberg-type fuzzy neural networks with distributed delays and impulses are obtained. An examples is given to show the effectiveness of the obtained results.
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具有分布延迟和脉冲的cohen - grossberg型模糊神经网络的周期性
研究了一类具有分布时滞和脉冲的cohen - grossberg型模糊神经网络。利用微分不等式和m矩阵理论,得到了具有分布时滞和脉冲的cohen - grossberg型模糊神经网络周期振荡解的存在性和全局指数稳定性的充分条件。算例表明了所得结果的有效性。
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