• DocumentCode
    1797770
  • Title

    Stability of a neutral delay neuron system in the critical case

  • Author

    Xiaofeng Liao ; Nankun Mu

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    1221
  • Lastpage
    1224
  • Abstract
    In this paper, the asymptotic stability properties of neutral-type neuron system are studied mainly in the critical case when the exponential stability is not possible. In the case of a critical value of the coefficient in neutral-type neuron system, the difficulty for our investigation is the fact that the spectrum of the linear operator is asymptotically approximated to the imaginary axis. Hence, based on the energy method, the asymptotic stability results for neutral-type neuron system are derived, and a complete analysis of the stability diagram is presented.
  • Keywords
    asymptotic stability; differential equations; neural nets; asymptotic stability properties; asymptotical approximation; critical case; critical value; energy method; imaginary axis; linear operator; neutral delay neuron system; neutral-type neuron system; stability diagram; Asymptotic stability; Delays; Differential equations; Equations; Mathematical model; Neurons; Stability analysis; asymptotic stability; critical case; neuron system; neutral-tyep;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889612
  • Filename
    6889612