• DocumentCode
    2136768
  • Title

    L-infinity analysis of Hopfield networks

  • Author

    Stoica, Adrian ; Yaesh, Isaac

  • Author_Institution
    Fac. of Aerosp. Eng., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    6
  • Lastpage
    10
  • Abstract
    A non symmetric version of Hopfield networks subject to bounded disturbances is considered. Such networks arise in the context of visuo-motor control loops and may, therefore, be used to mimic their complex behavior. In this paper, we adopt the Lur´e-Postnikov systems approach to analyze the induced L∞8 gain of generalized Hopfield networks. The results are illustrated via a simple numerical example.
  • Keywords
    Hopfield neural nets; Hopfield networks; L-infinity analysis; Lure-Postnikov systems approach; visuo-motor control loops; Artificial neural networks; Ellipsoids; Noise; Stability analysis; Stochastic processes; Symmetric matrices; Trajectory; Hopfield networks; ellipsoids; nonlinear systems; robustness; stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9902-1
  • Type

    conf

  • DOI
    10.1109/CICA.2011.5945751
  • Filename
    5945751
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2136768