Estimates of equilibrium points and global asymptotic stability of Cohen–Grossberg neural networks with delays

作者: Fang Qiu , Baotong Cui

DOI: 10.1080/00207720903042913

关键词:

摘要: This article studies a class of Cohen–Grossberg neural networks (CGNNs) with variable and distributed delays. Some novel conditions guaranteeing the existence, uniqueness estimated location equilibrium points are obtained. Using these results, global asymptotic stability CGNNs can be derived without demanding boundedness globally Lipschitz condition activation functions. Two numerical examples demonstrated to verify theoretical results.

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