Journal
NEURAL NETWORKS
Volume 46, Issue -, Pages 1-8Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2013.04.001
Keywords
Chaotic dynamical systems; Anti-synchronization; Memristor; Time-varying delays; Feedback control
Funding
- National Science Foundation of China [11271146]
- Science and Technology Program of Wuhan [2013010501010117]
- National Natural Science Foundation of China [61134012]
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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. (C) 2013 Elsevier Ltd. All rights reserved.
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