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Positive realness in stochastic subspace identification: A regularized and reweighted nuclear norm minimization approach

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dc.contributor.authorAkçay, Hüseyin
dc.contributor.authorTürkay, Semiha
dc.contributor.orcid0000-0002-8831-2142
dc.contributor.orcid0000-0002-9370-5557
dc.date.accessioned2025-11-13T10:09:36Z
dc.date.issued2015-07-01
dc.identifier.doihttps://doi.org/10.1109/ecc.2015.7330792
dc.identifier.openalexW2103387394
dc.identifier.urihttps://hdl.handle.net/11421/3306
dc.identifier.urihttps://doi.org/10.1109/ecc.2015.7330792
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectSubspace topology
dc.subjectMathematical optimization
dc.subjectMatrix norm
dc.subjectMathematics
dc.subjectMinification
dc.subjectConvex optimization
dc.subjectHeuristic
dc.subjectRank (graph theory)
dc.subjectAlgorithm
dc.subjectMatrix (chemical analysis)
dc.subjectComputer science
dc.subjectRegular polygon
dc.subjectEigenvalues and eigenvectors
dc.titlePositive realness in stochastic subspace identification: A regularized and reweighted nuclear norm minimization approach
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5042802961
local.authorid.openalexA5042860530

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