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Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling

Author

Listed:
  • Qiuxiang Bian
  • Jinde Cao
  • Jie Wu
  • Hongxing Yao
  • Tingfang Zhang
  • Xiaoxu Ling

Abstract

A new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established. Using linear matrix inequality (LMI) approach, some synchronization criteria are proposed to ensure the synchronization between two SCBNNs by constructing effective controllers. Some numerical simulations are provided to illustrate the effectiveness of the theoretical results obtained in this paper.

Suggested Citation

  • Qiuxiang Bian & Jinde Cao & Jie Wu & Hongxing Yao & Tingfang Zhang & Xiaoxu Ling, 2013. "Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:728606
    DOI: 10.1155/2013/728606
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    References listed on IDEAS

    as
    1. Liu, Tao & Zhao, Jun & Hill, David J., 2009. "Synchronization of complex delayed dynamical networks with nonlinearly coupled nodes," Chaos, Solitons & Fractals, Elsevier, vol. 40(3), pages 1506-1519.
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