Please use this identifier to cite or link to this item: https://doi.org/10.3724/SP.J.1004.2009.00668
DC FieldValue
dc.titleNotes on data-driven system approaches
dc.contributor.authorXu, J.-X.
dc.contributor.authorHou, Z.-S.
dc.date.accessioned2014-10-07T04:33:28Z
dc.date.available2014-10-07T04:33:28Z
dc.date.issued2009-06
dc.identifier.citationXu, J.-X.,Hou, Z.-S. (2009-06). Notes on data-driven system approaches. Zidonghua Xuebao/ Acta Automatica Sinica 35 (6) : 668-675. ScholarBank@NUS Repository. <a href="https://doi.org/10.3724/SP.J.1004.2009.00668" target="_blank">https://doi.org/10.3724/SP.J.1004.2009.00668</a>
dc.identifier.issn02544156
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/82784
dc.description.abstractIn this paper, we present several considerations centered around the data-driven system approaches. We briefly explore three main issues: the evolving relationship between off-line and on-line data processing methods, the complementary relationship between the data-driven and model-based methods, and the perspectives of data-driven system approaches. Instead of offering solutions to data-driven system problems, which is impossible at the present level of knowledge and research, in this article we aim at categorizing and classifying open problems, exploring possible directions that may offer alternatives or potentials for the four key fields of interests: control, decision making, scheduling, and fault diagnosis.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.3724/SP.J.1004.2009.00668
dc.sourceScopus
dc.subjectData-driven
dc.subjectPrincipal relations
dc.subjectProblem classification
dc.subjectResearch directions
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.3724/SP.J.1004.2009.00668
dc.description.sourcetitleZidonghua Xuebao/ Acta Automatica Sinica
dc.description.volume35
dc.description.issue6
dc.description.page668-675
dc.description.codenZIXUD
dc.identifier.isiutNOT_IN_WOS
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