• DocumentCode
    1123682
  • Title

    Approximately finite memory and the circle criterion

  • Author

    Sandberg, Irwin W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • Volume
    41
  • Issue
    7
  • fYear
    1994
  • fDate
    7/1/1994 12:00:00 AM
  • Firstpage
    473
  • Lastpage
    476
  • Abstract
    In recent work a complete characterization has been given of those input-output maps G that can be uniformly approximated by the maps of certain simple structures. The criterion is that G must satisfy certain continuity and approximately finite memory conditions. It is proved here that the conditions are satisfied by the input-output maps of feedback systems of a familiar type containing a (possibly distributed) linear part and a sector nonlinearity for which the circle condition for stability is met. In particular, this shows that such feedback systems, with inputs drawn from a certain large set of bounded functions, can be input-output approximated arbitrarily well by a structure that takes the form of a feedforward dynamical neural network
  • Keywords
    feedback; feedforward neural nets; identification; nonlinear dynamical systems; stability criteria; bounded functions; circle criterion; continuity; feedback systems; feedforward dynamical neural network; finite memory; input-output approximation; input-output maps; linear part; sector nonlinearity; stability; Communication channels; Equalizers; Extrapolation; Feedforward neural networks; Network synthesis; Neural networks; Neurofeedback; Nonlinear distortion; Nonlinear systems; Stability;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.298359
  • Filename
    298359