New stability results for delayed neural networks

Authors:
Qiang Zhang
Affiliations:
Liaoning Key Lab of Intelligent Information Processing, Dalian University, Dalian, China
Venue:
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

By constructing suitable Lyapunov functionals and combing with matrix inequality technique, some new sufficient conditions are presented for the global asymptotic stability of delayed neural networks. These conditions contain and improve some of the previous results in the earlier references.