• DocumentCode
    3236110
  • Title

    Stability analysis for a class of delay neural networks with nonlinear perturbations

  • Author

    Wang, Ruliang ; Lei, Hong ; Wang, Jin

  • Author_Institution
    Dept. of Inf. Technol., Guangxi Teachers´´ Univ., Nanning, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    158
  • Lastpage
    160
  • Abstract
    In this paper, we consider a class of time-delay dynamical neural networks with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded. we derive a robust stability criterion independent of delay. The sufficient criterion is given in terms of linear matrix inequality (LMI). The checking for robust stability of time-delay dynamical neural networks with nonlinear perturbation by our result can be carried out rather simply, and convenient for the application. The applicability of our results is demonstrated by means of a specific example.
  • Keywords
    delays; linear matrix inequalities; neural nets; nonlinear functions; stability criteria; linear matrix inequality; nonlinear perturbation function; robust stability criterion; stability analysis; time-delay dynamical neural network; Artificial neural networks; Computer science; Computer science education; Delay; Information technology; Linear matrix inequalities; Neural networks; Robust stability; Stability analysis; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228504
  • Filename
    5228504