• DocumentCode
    724435
  • Title

    Stability analysis of an annular neural network with time-delay control

  • Author

    Zunshui Cheng ; Yan Wang ; Shuguo Yang ; Dehao Li

  • Author_Institution
    Qingdao Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4458
  • Lastpage
    4462
  • Abstract
    In this paper, an annular neural network model with three neurons and delays is considered. Time delay can be regard as a source of instability, so that regarding the time-delay τ in feedback control as the bifurcation parameter, we construct a system and theoretically investigate the influence of time delays on linear stability and bifurcation. By analyzing the associated characteristic equation and applying the normal form theory, we obtain the direction of the Hopf bifurcation and the stability. Finally, an example is given and numerical simulations are represented to illustrate the obtained results of the proposed scheme.
  • Keywords
    bifurcation; delay systems; feedback; linear systems; neurocontrollers; stability; Hopf bifurcation parameter; annular neural network stability analysis; characteristic equation analysis; feedback control; linear stability; normal form theory; numerical simulations; time-delay control; Asymptotic stability; Bifurcation; Biological neural networks; Delays; Mathematical model; Numerical stability; Stability analysis; Bifurcation; Control; Delay; Neural Network; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162710
  • Filename
    7162710