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Journal Article

Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3173 78-83
DOI: 10.1007/978-3-540-28647-9_14
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Abstract

A new sufficient condition is presented ensuring the global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays by using an approach based on the Halanay inequality combing with Young inequality. Furthermore, a more subtle estimate is also given for the exponential decay rate. © Springer-Verlag 2004.

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APA

Yuan, K., & Cao, J. (2004). Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 78–83. https://doi.org/10.1007/978-3-540-28647-9_14

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