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Neural Processing Letters

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28-11-2017

Global Asymptotic Periodic Synchronization for Delayed Complex-Valued BAM Neural Networks via Vector-Valued Inequality Techniques

Authors: Zhengqiu Zhang, Ailing Li, Lin Yang

Published in: Neural Processing Letters | Issue 2/2018

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Abstract

In this paper, we are concerned with a class of delayed complex-valued BAM neural networks. In stead of using the priori estimate method of periodic solutions, by means of combining Mawhin’s continuation theorem of coincidence degree theory with novel LMI method and some analysis techniques, a novel LMI-based sufficient condition is obtained for the existence of periodic solutions of the delayed complex-valued BAM neural networks. Then by using novel LMI method, a novel sufficient condition on global asymptotic periodic synchronization of above complex-valued BAM neural networks is established.

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Title: Global Asymptotic Periodic Synchronization for Delayed Complex-Valued BAM Neural Networks via Vector-Valued Inequality Techniques
Authors: Zhengqiu Zhang
Ailing Li
Lin Yang
Publication date: 28-11-2017
Publisher: Springer US
Published in: Neural Processing Letters / Issue 2/2018
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-017-9722-3

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