• DocumentCode
    229119
  • Title

    Robust pinning control of complex dynamical networks using recurrent neural networks

  • Author

    Sanchez, Edgar N. ; Rodriguez, David I.

  • Author_Institution
    CINVESTAV, Unidad Guadalajara, Zapopan, Mexico
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, using recurrent high order neural networks as an identification strategy for unknown pinned nodes dynamics, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed and a robust regulation behavior on such scenario is demonstrated.
  • Keywords
    complex networks; neurocontrollers; recurrent neural nets; robust control; complex dynamical network; complex network; identification strategy; recurrent high order neural network; recurrent neural network; robust pinning control; robust regulation behavior; unknown coupling strength; unknown pinned nodes dynamics; Biological neural networks; Complex networks; Couplings; Integrated circuit modeling; Recurrent neural networks; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Control and Automation (CICA), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CICA.2014.7013236
  • Filename
    7013236
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=229119