Accuracy analysis of bias-eliminating least squares estimates for errors-in-variables systems

Mei Hong, Torsten Söderström, Wei Xing Zheng

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The bias-eliminating least squares (BELS) method is one of the consistent estimators for identifying dynamic errors-in-variables systems. In this paper, we investigate the accuracy properties of the BELS estimates. An explicit expression for the normalized asymptotic covariance matrix of the estimated parameters is derived and supported by some numerical examples.
Original languageEnglish
Pages (from-to)1590-1596
Number of pages7
JournalAutomatica
Volume43
Issue number9
DOIs
Publication statusPublished - Sept 2007

Keywords

  • accuracy
  • bias-eliminating least squares (BELS)
  • errors-in-variables
  • parameter identification
  • system identification

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