HEAL DSpace

On the state-space realization of vector autoregressive structures: An assessment

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dc.contributor.author Dertimanis, VK en
dc.contributor.author Koulocheris, DV en
dc.date.accessioned 2014-03-01T02:46:16Z
dc.date.available 2014-03-01T02:46:16Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32634
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-74549117848&partnerID=40&md5=dd94397f186776b27ca846d2d64abd5d en
dc.relation.uri http://www.informatik.uni-trier.de/~ley/db/conf/icinco/icinco2009-spsmc.html#DertimanisK09 en
dc.subject Covariance matrix en
dc.subject Dispersion analysis en
dc.subject Estimation en
dc.subject Green function en
dc.subject State-space en
dc.subject Time-series en
dc.subject Vector autoregressive en
dc.subject.other Auto-regressive en
dc.subject.other Compact framework en
dc.subject.other Dispersion analysis en
dc.subject.other First order en
dc.subject.other Green function en
dc.subject.other Original structures en
dc.subject.other Second moments en
dc.subject.other State space realization en
dc.subject.other State-space en
dc.subject.other State-space models en
dc.subject.other Structural information en
dc.subject.other Structural systems en
dc.subject.other Two degrees of freedom en
dc.subject.other VAR process en
dc.subject.other Vibration modes en
dc.subject.other Covariance matrix en
dc.subject.other Dispersions en
dc.subject.other Estimation en
dc.subject.other Robotics en
dc.subject.other Time series analysis en
dc.subject.other Value engineering en
dc.subject.other Vectors en
dc.subject.other Vector spaces en
dc.title On the state-space realization of vector autoregressive structures: An assessment en
heal.type conferenceItem en
heal.publicationDate 2009 en
heal.abstract This study explores the interconnection between vector autoregressive (VAR) structures and state-space models and results in a compact framework for the representation of multivariate time-series, as well as the estimation of structural information. The corresponding methodology that is developed, applies the fact that every VAR process of order n may be described by an equivalent (non-unique) VAR model of first order, which is identical to a state-space realization. The latter uncovers many ""hidden"" information of the initial model, it is more easy to manipulate and maintains significant second moments' information that can be reflected back to the original structure with no effort. The performance of the proposed framework is validated using vector time-series signatures from a structural system with two degrees of freedom, which retains a pair of closely spaced vibration modes and has been reported in the relevant literature. en
heal.journalName ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings en
dc.identifier.volume 3 SPSMC en
dc.identifier.spage 20 en
dc.identifier.epage 27 en


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