Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 11, Issue 3 (2000)
  4. Closed-loop Robust Identification Using ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • More
    Article info Related articles

Closed-loop Robust Identification Using the Indirect Approach
Volume 11, Issue 3 (2000), pp. 297–310
Rimantas Pupeikis  

Authors

 
Placeholder
https://doi.org/10.3233/INF-2000-11307
Pub. online: 1 January 2000      Type: Research Article     

Received
1 June 2000
Published
1 January 2000

Abstract

In the previous paper (Pupeikis, 2000) the problem of closed-loop robust identification using the direct approach in the presence of outliers in observations have been considered. The aim of the given paper is a development of the indirect approach used for the estimation of parameters of a closed-loop discrete-time dynamic system in the case of additive correlated noise with outliers contaminated uniformly in it. To calculate current M-estimates of unknown parameters of such a system by means of processing input and noisy output observations, obtained from closed-loop experiments, the recursive robust technique based on an ordinary recursive least square (RLS) algorithm is applied here. The results of numerical simulation of closed-loop system (Fig. 3) by computer (Figs. 4–7) are given.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
adaptive system closed-loop direct approach identification observations outliers

Metrics
since January 2020
563

Article info
views

0

Full article
views

438

PDF
downloads

192

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy