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Blind Identification via Lifting
Linköping University, Department of Electrical Engineering, Electronics System. Linköping University, The Institute of Technology. University of Calif Berkeley, CA 94720 USA.
University of Calif Berkeley, CA 94720 USA.
University of Calif Berkeley, CA 94720 USA.
University of Calif Berkeley, CA 94720 USA.
2014 (English)In: IFAC PAPERSONLINE, ELSEVIER SCIENCE BV , 2014, Vol. 47, no 3, 10367-10372 p.Conference paper (Refereed)
Abstract [en]

Blind system identification is known to be an ill-posed problem and without further assumptions, no unique solution is at hand. In this contribution, we are concerned with the task of identifying an ARX model from only output measurements. We phrase this as a constrained rank minimization problem and present a relaxed convex formulation to approximate its solution. To make the problem well posed we assume that the sought input lies in some known linear subspace.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2014. Vol. 47, no 3, 10367-10372 p.
Keyword [en]
System identification; Parameter estimation; Identification algorithms
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137422ISI: 000391109200227OAI: oai:DiVA.org:liu-137422DiVA: diva2:1095564
Conference
19th World Congress of the International-Federation-of-Automatic-Control (IFAC)
Available from: 2017-05-15 Created: 2017-05-15 Last updated: 2017-05-15

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