• DocumentCode
    2552069
  • Title

    Novel global robust stability analysis of neural networks with time-varying delays

  • Author

    Zhang, Jingyao ; Cui, Baotong

  • Author_Institution
    Coll. of Commun. & Control Eng., Jiangnan Univ., Wuxi
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    111
  • Lastpage
    115
  • Abstract
    In this paper, we study the global robust stability of neural networks with time varying delays and parametric uncertainties by using the Lyapunov functional method and matrix inequality technique. The proposed criteria are computationally efficient as they can be easily checked by using MATLAB toolbox. The obtained criteria are marked improvements over the earlier works, and an example is given to show the effectiveness of our theoretical results.
  • Keywords
    Lyapunov methods; delays; matrix algebra; neural nets; stability; Lyapunov functional method; MATLAB toolbox; global robust stability analysis; matrix inequality technique; neural networks; time-varying delays; Cellular neural networks; Control engineering; Delay effects; Educational institutions; Electronic mail; Linear matrix inequalities; Neural networks; Neurons; Robust stability; Uncertainty; Cellular neural networks; Lyapunov theory; global robust stability (GRS); linear matrix inequality (LMI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597280
  • Filename
    4597280
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2552069