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Abstract and Applied Analysis
Volume 2013, Article ID 510903, 7 pages
Research Article

Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

1School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China
2Hebei University of Science and Technology, Shijiazhuang 050018, China

Received 13 October 2013; Accepted 5 December 2013

Academic Editor: Khalil Ezzinbi

Copyright © 2013 Dedong Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transmission-induced delays, and data packet dropouts, are also considered. The sufficient condition that depended on network characteristics is obtained to guarantee the remote asymptotical synchronization of neural networks with mixed time delays. A numerical example is given to illustrate the validity of the proposed method.