An identification method for Errors-in-Variables systems using incomplete data

Rodrigo Carvajal, Ramón Delgado, Juan C. Agüero, Graham C. Goodwin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper we develop a novel identification algorithm for Errors-in-Variables systems (represented in transfer function form) using incomplete data. We propose a Maximum Likelihood formulation in the frequency domain that considers a restricted frequency range from the available measurements. We compare the proposed technique with the traditional frequency domain system identification technique applied to Errors-in-Variables systems.

Original languageEnglish
Title of host publicationSYSID 2012 - 16th IFAC Symposium on System Identification, Final Program
PublisherIFAC Secretariat
Pages1359-1364
Number of pages6
EditionPART 1
ISBN (Print)9783902823069
DOIs
StatePublished - 2012
Externally publishedYes
EventUniversite Libre de Bruxelles - Bruxelles, Belgium
Duration: 11 Jul 201213 Jul 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume16
ISSN (Print)1474-6670

Conference

ConferenceUniversite Libre de Bruxelles
Country/TerritoryBelgium
CityBruxelles
Period11/07/1213/07/12

Keywords

  • Errors-in-Variables systems
  • Frequency domain identification
  • Incomplete data
  • Maximum likelihood
  • System identification

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