On global robust exponential stability of interval neural networks with delays

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Abstract

In this paper, based on globally Lipschitz continuous activation functions, new conditions ensuring existence, uniqueness and global robust exponential stability of the equilibrium point of interval neural networks with delays are obtained. The delayed Hopfield network, Bidirectional associative memory network and Cellular neural network are special cases of the network model considered in this paper. All the results obtained are generalizations of some recent results reported in the literature for neural networks with constant delays.

Original languageEnglish
Pages2738-2742
Number of pages5
StatePublished - 2002
Externally publishedYes
Event2002 International Joint Conference on Neural Networks (IJCNN'02) - Honolulu, HI, United States
Duration: 12 May 200217 May 2002

Conference

Conference2002 International Joint Conference on Neural Networks (IJCNN'02)
Country/TerritoryUnited States
CityHonolulu, HI
Period12/05/0217/05/02

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