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2009 Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays
Yimin Zhang, Yongkun Li, Kuohui Ye
Abstr. Appl. Anal. 2009: 1-15 (2009). DOI: 10.1155/2009/957475

Abstract

By the continuation theorem of coincidence degree and M-matrix theory, we obtain some sufficient conditions for the existence and exponential stability of periodic solutions for a class of generalized neural networks with arbitrary delays, which are milder and less restrictive than those of previous known criteria. Moreover our results generalize and improve many existing ones.

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Yimin Zhang. Yongkun Li. Kuohui Ye. "Existence and Exponential Stability of Periodic Solution for a Class of Generalized Neural Networks with Arbitrary Delays." Abstr. Appl. Anal. 2009 1 - 15, 2009. https://doi.org/10.1155/2009/957475

Information

Published: 2009
First available in Project Euclid: 16 March 2010

zbMATH: 1184.93098
MathSciNet: MR2581139
Digital Object Identifier: 10.1155/2009/957475

Rights: Copyright © 2009 Hindawi

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