Accuracy analysis of a covariance matching method for continuous-time errors-in-variables system identification

Torsten Soderstrom, Yasir Irshad, Magnus Mossberg, Wei Xing Zheng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

2 Citations (Scopus)

Abstract

A covariance matching method for continuous-time errors-in-variables system identification from discrete-time data is analyzed. The asymptotic normalized covariance matrix, valid for a large number of data and a small sampling interval, is evaluated. This involves the evaluation of a covariance matrix of estimated covariance elements and estimated derivatives of such elements, and large parts of the paper are devoted to this task.
Original languageEnglish
Title of host publicationProceedings of the 16th IFAC Symposium on System Identification: The International Federation of Automatic Control, Brussels, Belgium: July 11-13, 2012
PublisherElsevier
Pages1383-1388
Number of pages6
ISBN (Print)9783902823069
DOIs
Publication statusPublished - 2012
EventIFAC Symposium on System Identification -
Duration: 11 Jul 2012 → …

Publication series

Name
ISSN (Print)1474-6670

Conference

ConferenceIFAC Symposium on System Identification
Period11/07/12 → …

Keywords

  • accuracy analysis
  • continuous time
  • covariance matching
  • covariance matrix
  • errors
  • errors-in-variables systems
  • identification (control systems)
  • parameter estimation

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