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Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays.

Authors :
Zhang, Guodong
Shen, Yi
Wang, Leimin
Source :
Neural Networks. Oct2013, Vol. 46, p1-8. 8p.
Publication Year :
2013

Abstract

Abstract: This paper is concerned with the global exponential anti-synchronization of a class of chaotic memristive neural networks with time-varying delays. The dynamic analysis here employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. And by using differential inclusions theory, the Lyapunov functional method and the inequality technique, some new sufficient conditions ensuring exponential anti-synchronization of two chaotic delayed memristive neural networks are derived. The new proposed results here are very easy to verify and they also improve the earlier publications. Finally, a numerical example is given to illustrate the effectiveness of the new scheme. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
08936080
Volume :
46
Database :
Academic Search Index
Journal :
Neural Networks
Publication Type :
Academic Journal
Accession number :
89897283
Full Text :
https://doi.org/10.1016/j.neunet.2013.04.001