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Journal Article

Delay-dependent criteria for global stability of delayed neural network system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3173 38-43
DOI: 10.1007/978-3-540-28647-9_7
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Abstract

In this paper, we discuss delayed neural networks, investigating the global exponential stability of their equilibria. Delay-dependent criteria ensuring global stability are given. A numerical example illustrating the dependence of stability on the delays is presented. © Springer-Verlag 2004.

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Lu, W., & Chen, T. (2004). Delay-dependent criteria for global stability of delayed neural network system. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 38–43. https://doi.org/10.1007/978-3-540-28647-9_7

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