• DocumentCode
    2251898
  • Title

    Stabilization of chaotic neural networks with time-varying delays via non-periodically intermittent control

  • Author

    Zhenjiang, Zhao ; Qiankun, Song

  • Author_Institution
    Department of Mathematics, Huzhou Teachers College, Huzhou 313000, P.R. China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    3462
  • Lastpage
    3467
  • Abstract
    In this paper, a class of chaotic neural networks with time-varying delays are considered without assuming the differentiability of the time-varying delays, and the stabilization for the considered neural networks is investigated via intermittent control with non-fixed both control period and control width. A delay-dependent criterion for checking the stabilization of the neural networks are presented by employing Lyapunov-Krasovskii functional and using the matrix inequality techniques. The obtained results extend ones on stabilization of delayed neural networks by periodically intermittent control with both fixed control period and control width. An example with simulations is given to show the effectiveness of the obtained results.
  • Keywords
    Chaos; Delays; Linear matrix inequalities; Lyapunov methods; Mathematical model; Neural networks; Stability analysis; Chaotic Neural Networks; Linear Matrix Inequality; Non-Periodically Intermittent Control; Stability; Time-Varying Delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260173
  • Filename
    7260173