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Article: A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification

TitleA Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification
Authors
Batselier, KChen, ZWong, N
KeywordsIdentification methods
Kalman filters
MIMO
System identification
Tensors
Time-varying systems
Volterra series
Issue Date2017
Citation
Automatica, 2017, v. 84, p. 17-25 How to Cite?
DOI: http://dx.doi.org/10.1016/j.automatica.2017.06.019
Persistent Identifierhttp://hdl.handle.net/10722/243082
ISI Accession Number ID
WOS:000411546300003

 

DC FieldValueLanguage
dc.contributor.authorBatselier, K-
dc.contributor.authorChen, Z-
dc.contributor.authorWong, N-
dc.date.accessioned2017-08-25T02:49:46Z-
dc.date.available2017-08-25T02:49:46Z-
dc.date.issued2017-
dc.identifier.citationAutomatica, 2017, v. 84, p. 17-25-
dc.identifier.urihttp://hdl.handle.net/10722/243082-
dc.languageeng-
dc.relation.ispartofAutomatica-
dc.subjectIdentification methods-
dc.subjectKalman filters-
dc.subjectMIMO-
dc.subjectSystem identification-
dc.subjectTensors-
dc.subjectTime-varying systems-
dc.subjectVolterra series-
dc.titleA Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification-
dc.typeArticle-
dc.identifier.emailBatselier, K: kbatseli@hku.hk-
dc.identifier.emailWong, N: nwong@eee.hku.hk-
dc.identifier.authorityWong, N=rp00190-
dc.identifier.doi10.1016/j.automatica.2017.06.019-
dc.identifier.scopuseid_2-s2.0-85022337085-
dc.identifier.hkuros274504-
dc.identifier.volume84-
dc.identifier.spage17-
dc.identifier.epage25-
dc.identifier.isiWOS:000411546300003-

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