• DocumentCode
    84115
  • Title

    Aggregative Modeling of Nonlinear Systems

  • Author

    Wachel, Pawel ; Sliwinski, Przemyslaw

  • Author_Institution
    Dept. of Control Syst. & Mechatron., Wroclaw Univ. of Technol., Wrocław, Poland
  • Volume
    22
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    1482
  • Lastpage
    1486
  • Abstract
    In the note we examine the recently introduced aggregation modeling technique in a system identification context. First, we show that its finite sample size properties are preserved for any nonlinear SISO system with finite memory. Then, using as an example the peripheral auditory model we demonstrate that it allows to find effective Volterra approximations of LNL systems.
  • Keywords
    Volterra equations; convex programming; nonlinear dynamical systems; Volterra approximations; aggregative modeling; finite memory; finite sample size properties; nonlinear SISO system; nonlinear systems; peripheral auditory model; system identification context; Dictionaries; Heuristic algorithms; Kernel; Mathematical model; Nonlinear systems; Signal processing algorithms; Vectors; Convex optimization; nonlinear dynamic system; statistic aggregation; system identification;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2405613
  • Filename
    7052315
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=84115