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本文讨论了含混合时滞和脉冲的Cohen-Grossberg神经网络的稳定性.通过应用M矩阵理论和不等式技巧,得到了含混合时滞的Cohen-Grossberg神经网络平衡态的全局指数稳定性的充分条件.相比以前同类文献,本文减弱了部分条件,推广了部分结论,并在文末给出了两个示例.本文结论对于设计和应用神经网络有一定实用价值.
In this paper, we discuss the stability of Cohen-Grossberg neural networks with mixed delays and impulses. By applying M-matrix theory and inequality techniques, sufficient conditions for the global exponential stability of equilibrium states of Cohen-Grossberg neural networks with mixed delays are obtained. Compared with the previous literature, this paper weakens some of the conditions and generalizes some conclusions, and gives two examples at the end of the article.The conclusion of this paper has some practical values for the design and application of neural networks.