Global Asymptotic Synchronization of Coupled Interconnected Recurrent Neural Networks via Pinning Control
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  • 作者:Zhanshan Wang (19)
    Dakai Zhou (19)
    Dongsheng Ma (19)
    Shuxian Lun (20)
  • 关键词:Interconnected recurrent neural networks ; delayed couple ; global asymptotic synchronization ; pinning control
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2012
  • 出版时间:2012
  • 年:2012
  • 卷:7367
  • 期:1
  • 页码:312-321
  • 全文大小:186KB
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  • 作者单位:Zhanshan Wang (19)
    Dakai Zhou (19)
    Dongsheng Ma (19)
    Shuxian Lun (20)

    19. School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, People鈥檚 Republic of China
    20. College of Engineering, Bohai University, Jinzhou, 121000, People鈥檚 Republic of China
文摘
Global asymptotic synchronization problem of a coupled interconnected recurrent neural networks with linearly delayed coupled has been investigated. By using the state feedback and delayed state feedback pinning control method, two different pinning synchronization criteria have been established. One is based on the matrix eigenvalue of the coupled matrix, the other is based on the matrix inequality of the known networks information. Some remarks on the synchronization criteria are used to show the characteristics of the proposed results.

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