作者: Fang Qiu , Baotong Cui
DOI: 10.1080/00207720903042913
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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.