Novel delay-dependent exponential stability analysis for a class of delayed neural networks
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
An analysis of global asymptotic stability of delayed cellular neural networks
IEEE Transactions on Neural Networks
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This paper deals with the problem of global stability for a class of neural networks with time-varying delays. A new sufficient condition for global stability is proposed by using some slack matrix variables to express the relationship between the system matrices. The restriction on the derivative of the delay function to be less than unit is removed. A numerical example shows that the result obtained in this paper improves the upper bound of the delay over some existing ones.