• DocumentCode
    115354
  • Title

    The APA based time-variant system identification

  • Author

    Semushin, Innokentiy

  • Author_Institution
    Fac. of Math. & Inf. Technol., Ulyanovsk State Univ., Ulyanovsk, Russia
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4137
  • Lastpage
    4141
  • Abstract
    The paper presents the development of Active Principle of Adaptation (APA) in application to time-variant system model identification. In contrast to the Minimum Prediction Error identification methods, the APA based methods allow for consideration the Exact System Models (ESMs), rather than Approximate System Models (ASMs). This results in a development of a new class of Minimum State Prediction Error Methods.
  • Keywords
    identification; time-varying systems; APA based time-variant system identification; ESM; active principle of adaptation; exact system models; minimum prediction error identification methods; minimum state prediction error methods; Adaptation models; Adaptive filters; Mathematical model; Optimization; Performance analysis; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040033
  • Filename
    7040033
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=115354