• DocumentCode
    3301682
  • Title

    Bounded characteristics of wavelet based SDP models

  • Author

    Truong, Nguyen-Vu ; Wang, Liuping

  • Author_Institution
    Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    6780
  • Lastpage
    6785
  • Abstract
    In our recent work, an efficient nonlinear system identification approach using wavelet based State Dependent Parameter (WSDP) models has been proposed and investigated. This model has some unique properties which are very useful for the investigation of its bounded characteristics. This paper presents results on the bounded characteristics of WSDP models. These results reveal the clear relationship between the model´s parameters and the boundedness of a WSDP model, providing important insight to the analysis of the BIBO stability of this class of nonlinear models. To validate and illustrate the developed theoretical results, an extensive Monte Carlo (MC) simulation example is provided.
  • Keywords
    MIMO systems; nonlinear systems; stability; state estimation; wavelet transforms; BIBO stability; Monte Carlo simulation; nonlinear system identification approach; wavelet based state dependent parameter models; Maximum likelihood estimation; Monte Carlo methods; Nonlinear systems; Parameter estimation; Recursive estimation; Shape; Smoothing methods; Stability analysis; State estimation; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399973
  • Filename
    5399973