Nuclear Norm Minimization for Blind Subspace Identification (N2BSID)

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Fältnamn	Indikatorer	Metadata
000		03043naa a2200337 4500
001		oai:DiVA.org:liu-133144
003		SwePub
008		161209s2015 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1331442 URI
024	7	a https://doi.org/10.1109/CDC.2015.74025212 DOI
040		a (SwePub)liu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a kon2 swepub-publicationtype
100	1	a Scobee, Dexteru Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States4 aut
245	1 0	a Nuclear Norm Minimization for Blind Subspace Identification (N2BSID)
264	1	b Institute of Electrical and Electronics Engineers (IEEE),c 2015
338		a print2 rdacarrier
520		a In many practical applications of system identification, it is not feasible to measure both the inputs applied to the system as well as the output. In such situations, it is desirable to estimate both the inputs and the dynamics of the system simultaneously; this is known as the blind identification problem. In this paper, we provide a novel extension of subspace methods to the blind identification of multiple-input multiple-output linear systems. We assume that our inputs lie in a known subspace, and we are able to formulate the identification problem as rank constrained optimization, which admits a convex relaxation. We show the efficacy of this formulation with a numerical example.
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng
700	1	a Ratliff, Lillianu Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States4 aut
700	1	a Dong, Royu Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States4 aut
700	1	a Ohlsson, Henriku Linköpings universitet,Reglerteknik,Tekniska fakulteten,Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States4 aut0 (Swepub:liu)henoh44
700	1	a Verhaegen, Michelu Delft Center for Systems and Control, Delft University, The Netherlands4 aut
700	1	a Sastry, S. Shankaru Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States4 aut
710	2	a Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United Statesb Reglerteknik4 org
773	0	t 2015 IEEE 54th Annual Conference on Decision and Control (CDC)d : Institute of Electrical and Electronics Engineers (IEEE)g , s. 2127-2132q <2127-2132z 9781479978861z 9781479978847z 9781479978854z 9781479978878
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133144
856	4 8	u https://doi.org/10.1109/CDC.2015.7402521

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Av författaren/redakt...: Scobee, Dexter; Ratliff, Lillian; Dong, Roy; Ohlsson, Henrik; Verhaegen, Miche ...; Sastry, S. Shank ...

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TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Elektroteknik oc ...; och Reglerteknik

Artiklar i publikationen: 2015 IEEE 54th A ...

Av lärosätet: Linköpings universitet

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