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Identifiability of Multivariable Dynamic Errors-In-Variables 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
2011 (English)In: Proceedings of the 9th IEEE International Conference on Control & Automation (IEEE ICCA’11), 2011, 189-194 p.Conference paper, Published paper (Refereed)
Abstract [en]

Research in the area of identifiability of dynamic Errors-in-Variables (EIV) systems (i.e., systems where both their inputs and outputs are measured with errors) has been substantial in the last decades. However, most of the literature has focused on Single-Input-Single-Output (SISO) systems. In this paper we extend recent identifiability results to multivariable (MIMO) systems. To this end, we use some results on the canonical factorization of matrix functions. In particular, we establish generic global identifiability for EIV models up to a scalar constant, which is surprising, since it corresponds exactly to what happens in the SISO case. We then present several sets of conditions, analogous to those usually assumed for SISO systems, to ensure full global identifiability.

Place, publisher, year, edition, pages
2011. 189-194 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-72599DOI: 10.1109/ICCA.2011.6137999Scopus ID: 2-s2.0-84858982344OAI: oai:DiVA.org:kth-72599DiVA: diva2:488322
Conference
9th IEEE International Conference on Control & Automation (IEEE ICCA’11). Santiago. 19-21 Dec. 2011
Note
QC 20120416Available from: 2012-02-01 Created: 2012-01-31 Last updated: 2012-04-16Bibliographically approved

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Rojas, Cristian R.

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