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Article: Tensor Network alternating linear scheme for MIMO Volterra system identification

TitleTensor Network alternating linear scheme for MIMO Volterra system identification
Authors
Batselier, KChen, ZWong, N
KeywordsIdentification methods
Linear/nonlinear models
MIMO
System identification
Tensors
Volterra series
Issue Date2017
Citation
Automatica, 2017, v. 84, p. 26-35 How to Cite?
DOI: http://dx.doi.org/10.1016/j.automatica.2017.06.033
Persistent Identifierhttp://hdl.handle.net/10722/243081
ISI Accession Number ID
WOS:000411546300004

 

DC FieldValueLanguage
dc.contributor.authorBatselier, K-
dc.contributor.authorChen, Z-
dc.contributor.authorWong, N-
dc.date.accessioned2017-08-25T02:49:45Z-
dc.date.available2017-08-25T02:49:45Z-
dc.date.issued2017-
dc.identifier.citationAutomatica, 2017, v. 84, p. 26-35-
dc.identifier.urihttp://hdl.handle.net/10722/243081-
dc.languageeng-
dc.relation.ispartofAutomatica-
dc.subjectIdentification methods-
dc.subjectLinear/nonlinear models-
dc.subjectMIMO-
dc.subjectSystem identification-
dc.subjectTensors-
dc.subjectVolterra series-
dc.titleTensor Network alternating linear scheme for 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.2017.06.033-
dc.identifier.scopuseid_2-s2.0-85023188884-
dc.identifier.hkuros274503-
dc.identifier.volume84-
dc.identifier.spage26-
dc.identifier.epage35-
dc.identifier.isiWOS:000411546300004-

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