Sökning: onr:"swepub:oai:DiVA.org:liu-133144" > Nuclear Norm Minimi...
Fältnamn | Indikatorer | Metadata |
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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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