• DocumentCode
    1072474
  • Title

    Robust Exponential Stability of Recurrent Neural Networks With Multiple Time-Varying Delays

  • Author

    Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong

  • Author_Institution
    Northeastern Univ., Liaoning
  • Volume
    54
  • Issue
    8
  • fYear
    2007
  • Firstpage
    730
  • Lastpage
    734
  • Abstract
    New criteria for the uniqueness and global robust exponential stability are established for the equilibrium point of interval recurrent neural networks with multiple time-varying delays via a decomposition method and analysis technique. Results are presented in the form of linear matrix inequality, which can be solved efficiently. Two numerical examples are employed to show the effectiveness of the present results.
  • Keywords
    delay systems; linear matrix inequalities; neural nets; recurrent neural nets; time-varying systems; decomposition method; linear matrix inequality; multiple time-varying delays; recurrent neural networks; robust exponential stability; Control systems; Delay; Eigenvalues and eigenfunctions; Linear matrix inequalities; Neural networks; Recurrent neural networks; Robust stability; Stability analysis; Stability criteria; Symmetric matrices; Multiple time-varying delays; recurrent neural networks; robust exponential stability;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Express Briefs, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-7747
  • Type

    jour

  • DOI
    10.1109/TCSII.2007.896799
  • Filename
    4277947
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1072474