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Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

Author

Listed:
  • Dedong Yang
  • He-Xu Sun
  • Peng Yang
  • Tai-Hang Du

Abstract

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.

Suggested Citation

  • Dedong Yang & He-Xu Sun & Peng Yang & Tai-Hang Du, 2013. "Synchronization of Neural Networks with Mixed Time Delays under Information Constraints," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:510903
    DOI: 10.1155/2013/510903
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    References listed on IDEAS

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    1. Yang, Xinsong & Huang, Chuangxia & Zhu, Quanxin, 2011. "Synchronization of switched neural networks with mixed delays via impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 44(10), pages 817-826.
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