• DocumentCode
    294935
  • Title

    Convergence analysis of a class of networks of nonlinear coupled oscillators

  • Author

    Justh, Eric ; Krishnaprasad, P.S.

  • Author_Institution
    Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    1284
  • Abstract
    A network of nonlinear coupled oscillators is presented, and physical motivation is given for the network structure. Next, a rigorous proof of convergence using Lyapunov theory and LaSalle´s Invariance Principle is presented, which shows that each trajectory of the network converges to an equilibrium point. Two important generalizations of the network architecture for which the convergence properties are retained are then indicated. Finally, an example is presented to illustrate how such networks could be used, and to indicate how undesired stable equilibria might be dealt with
  • Keywords
    Lyapunov methods; convergence; invariance; neural nets; LaSalle´s Invariance Principle; Lyapunov theory; convergence analysis; convergence properties; network architecture; nonlinear coupled oscillators; stable equilibria; Biological control systems; Biological systems; Control systems; Convergence; Couplings; Educational institutions; Mathematical analysis; Oscillators; Pattern recognition; Research initiatives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.480274
  • Filename
    480274