An alternative method for stochastic systems identification

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

1 Citation (Scopus)

Abstract

An alternative method is developed for stochastic systems identification in the presence of coloured noise. Central to this method is that the noise covariance vector, which determines the bias in the ordinary least-squares (LS) estimator, is estimated in the way of making use of delayed plant outputs rather than delayed plant inputs. This is very different from the other existing bias-eliminated least-squares (BELS) methods. While achieving estimation unbiasedness, the developed method has algorithmic advantages over the prefiltering based BELS method. Moreover, its performance is comparable to the other BELS methods. Numerical results well correspond to theoretical predictions.

Original languageEnglish
Title of host publication6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
PublisherIEEE Computer Society
Pages683-686
Number of pages4
ISBN (Print)0780367030, 9780780367036
DOIs
Publication statusPublished - 2001
Event6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia
Duration: 13 Aug 200116 Aug 2001

Publication series

Name6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis
Volume2

Conference

Conference6th International Symposium on Signal Processing and Its Applications, ISSPA 2001
Country/TerritoryMalaysia
CityKuala Lumpur
Period13/08/0116/08/01

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