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An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0003-0355-2663
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0002-9368-3079
Computer and Automation Institute of the Hungarian Academy of Sciences, Hungary.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0002-3672-5316
2011 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 47, no 7, 1388-1398 p.Article in journal (Refereed) Published
Abstract [en]

An adaptive algorithm, consisting of a recursive estimator for a finite impulse response model having two non-zero lags only, and an adaptive input are presented. The model is parametrized in terms of the first impulse response coefficient and the model zero. For linear time-invariant single-input single-output systems with real rational transfer functions possessing at least one real-valued non-minimum phase zero of multiplicity one, it is shown that the model zero converges to such a zero of the true system. In the case of multiple non-minimum phase zeros, the algorithm can be tailored to converge to a particular zero. The result is shown to hold for systems and noise spectra of arbitrary degree. The algorithm requires prior knowledge of the sign of the high frequency gain of the system as well as an interval to which the non-minimum phase zero of interest belongs.

Place, publisher, year, edition, pages
Elsevier, 2011. Vol. 47, no 7, 1388-1398 p.
Keyword [en]
System identification, Non-minimum phase zeros, Adaptive estimation, Recursive estimation
National Category
Control Engineering
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-36257DOI: 10.1016/j.automatica.2011.02.033ISI: 000292074400011Scopus ID: 2-s2.0-79957441502OAI: oai:DiVA.org:kth-36257DiVA: diva2:430483
Funder
Swedish Research Council, 621-2007-6271Swedish Research Council, 621-2009-4017
Note

QC 20110711

Available from: 2011-07-11 Created: 2011-07-11 Last updated: 2016-05-02Bibliographically approved

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Rojas, Cristian R.Hjalmarsson, HåkanMårtensson, Jonas

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