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New algebraic criteria for synchronization stability of chaotic memristive neural networks with time-varying delays.

Authors :
Zhang G
Shen Y
Source :
IEEE transactions on neural networks and learning systems [IEEE Trans Neural Netw Learn Syst] 2013 Oct; Vol. 24 (10), pp. 1701-7.
Publication Year :
2013

Abstract

In this brief, we consider the exponential synchronization of chaotic memristive neural networks with time-varying delays using the Lyapunov functional method and inequality technique. The dynamic analysis here employs the theory of differential equations with discontinuous right-hand side as introduced by Filippov. The designing laws in the synchronization of neural networks are proposed via state or output coupling. In addition, the new proposed algebraic criteria are very easy to verify, and they also enrich and improve the earlier publications. Finally, an example is given to show the effectiveness of the obtained results.

Details

Language :
English
ISSN :
2162-2388
Volume :
24
Issue :
10
Database :
MEDLINE
Journal :
IEEE transactions on neural networks and learning systems
Publication Type :
Academic Journal
Accession number :
24808605
Full Text :
https://doi.org/10.1109/TNNLS.2013.2264106