{"refrec":{"BRefID":289169,"RR":"<b>Svensson, A.; Schön, T.B.</b> (2017). A flexible state-space model for learning nonlinear dynamical systems. <i>Automatica 80</i>: 189-199. <a href=\"https://dx.doi.org/10.1016/j.automatica.2017.02.030\" target=\"_blank\">https://dx.doi.org/10.1016/j.automatica.2017.02.030</a>","BEntID":281206,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Automatica 80</i>: 189-199. <a href=\"https://dx.doi.org/10.1016/j.automatica.2017.02.030\" target=\"_blank\">https://dx.doi.org/10.1016/j.automatica.2017.02.030</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Svensson, A.; Schön, T.B.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Svensson, A.; Schön, T.B.","Englishabstract":"We consider a nonlinear state-space model with the state transition and observation functions expressed as basis function expansions. The coefficients in the basis function expansions are learned from data. Using a connection to Gaussian processes we also develop priors on the coefficients, for tuning the model flexibility and to prevent overfitting to data, akin to a Gaussian process state-space model. The priors can alternatively be seen as a regularization, and helps the model in generalizing the data without sacrificing the richness offered by the basis function expansion. To learn the coefficients and other unknown parameters efficiently, we tailor an algorithm using state-of-the-art sequential Monte Carlo methods, which comes with theoretical guarantees on the learning. Our approach indicates promising results when evaluated on a classical benchmark as well as real data.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"A flexible state-space model for learning nonlinear dynamical systems","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:32:52.928458","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"System identification; Nonlinear models; Regularization; Probabilisticmodels; Bayesian learning; Gaussian processes; Monte Carlo methods","OtherDescriptors":null,"Notes":null,"AnaPub":2017,"MonPub":null,"DateUpdate":"2017-09-19","DateCreate":"2017-09-18","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000401391800023","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.automatica.2017.02.030"},"refs":null,"anarec":{"AnaID":289169,"PubliDate":2017,"Pagination":"189-199","XtraPublOfAnaID":null,"ISBN":null,"Volume":"80","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":264251,"SerRR":"Automatica. PERGAMON-ELSEVIER SCIENCE LTD: Oxford.  ISSN 0005-1098; e-ISSN 1873-2836","StandardTitleSer":"Automatica","ISSN":"0005-1098","AbbrevSer":null,"StandardTitleMon":null,"StartPage":189,"Pages":11,"ToPubliDate":null,"BRefBibLvlCode":"S","SerNotes":null},"monrec":null,"serrec":null,"relations":null,"relationsRev":null,"addrec":null,"othpubs":null,"ownerships":null,"authors":[{"AutName":"Svensson","Firstname":"Andreas","Initials":"A.","Affiliation":null,"Discriminator":null,"CorporateFlag":0,"BEntID":281206,"AutID":270268,"OrderNr":1,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":null,"InsFSN":null,"ORCID":null,"PersID":null,"InsID":null},{"AutName":"Schön","Firstname":"Thomas","Initials":"T.B.","Affiliation":null,"Discriminator":null,"CorporateFlag":0,"BEntID":281206,"AutID":270269,"OrderNr":2,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":null,"InsFSN":null,"ORCID":null,"PersID":null,"InsID":null}],"mapdetails":null,"datasets":null,"monographs":null,"monparts":null,"serparts":null,"BEntOpen":null,"BEntPrivate":null,"availability":[{"BInstID":306856,"LibID":36,"BRefID":289169,"EmbargoDate":null,"FullEmbargoDate":null,"PhysMedID":16,"hasOCRd":1,"ShelfLocCode":"306856","RFID":null,"PaidValue":null,"Medium":"Server","Description":"Interne VLIZ documenten","Acronym":"VLIZ","Library":"Vlaams Instituut voor de Zee","DutchTerm":"Non-open access","URL":null,"ClassifID":228,"Classification":"Non-open access","ReqLink":1,"ClassifTypID":3,"URLLocation":"https://www.vliz.be/imisdocs/publications/","SubDir":1,"InternalReq":1,"LoggedInReq":1,"Disclaimer":"Disclaimer_VLIZ_Intern","DutchDisclaimer":"<p>Deze publicatie is enkel beschikbaar voor persoonlijk gebruik binnen de Innovocean site <br />en mag op geen enkele manier verder worden verspreid.</p>","FileFormat":".pdf","FileDescr":"pdf","InsPub":1,"InsID":36,"FileFormID":6,"LendableFlag":1,"PublicFlag":1,"orderLib":"A","Notes":null,"AccConID":null,"AccessConstraint":null,"LicURL":null}],"litstyles":null,"thespers":null,"arch2discl":null,"SERpubls":[{"PublName":"PERGAMON-ELSEVIER SCIENCE LTD","City":"Oxford"}],"MONpubls":null,"pictures":[],"thestermsPath":[{"ThesaurusTerm":"Others","ThestID":169566,"Acronym":"KTPS","ThesTermPath":"Others"},{"ThesaurusTerm":"Modelling & Prediction","ThestID":169606,"Acronym":"KTPS","ThesTermPath":"Others > Modelling & Prediction"},{"ThesaurusTerm":"Scientific Community","ThestID":169557,"Acronym":"KTPUT","ThesTermPath":"Scientific Community"},{"ThesaurusTerm":"Scientific Publication","ThestID":169548,"Acronym":"KTPKO","ThesTermPath":"Scientific Publication"},{"ThesaurusTerm":"Software/Modelling Tool","ThestID":169550,"Acronym":"KTPKO","ThesTermPath":"Software/Modelling Tool"}],"thestermsASFA":[{"ThesaurusTerm":"Modelling & Prediction"},{"ThesaurusTerm":"Others"},{"ThesaurusTerm":"Scientific Community"},{"ThesaurusTerm":"Scientific Publication"},{"ThesaurusTerm":"Software/Modelling Tool"}],"taxtermsASFA":null,"geotermsASFA":null,"collections":null,"conf":null,"proj":[{"ProID":4198,"Acronym":"ASSEMBLE","ProStandardTitle":"Association of European marine biological laboratories","BYear":2009,"BMonth":3,"EYear":2013,"EMonth":2,"FP7Code":"A-2008","RelID":null,"Relation":null,"DutchTerm":null}],"Physdatasets":null,"spcols":{"990":{"SpName":"Assemble","SpColID":990,"ParSpColID":null,"TopParID":null,"ShortName":"Assemble","URLLocation":null,"LibID":null,"OpenRepoFlag":null,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"Assemble"},"951":{"SpName":"AssembleMarine","SpColID":951,"ParSpColID":990,"TopParID":990,"ShortName":"AssembleMarine","URLLocation":null,"LibID":null,"OpenRepoFlag":0,"SpTypID":null,"TopParIDNotWebsite":990,"SpColPath":"Assemble/AssembleMarine"},"950":{"SpName":"EMBRC","SpColID":950,"ParSpColID":null,"TopParID":null,"ShortName":"EMBRC","URLLocation":null,"LibID":null,"OpenRepoFlag":0,"SpTypID":null,"TopParIDNotWebsite":null,"SpColPath":"EMBRC"}},"doi":null,"publs":null,"serparttypes":null,"monauthors":null,"MParts":null,"SParts":null,"hLibs":null,"langs":[{"BEntID":281206,"AbstractFlag":0,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"},{"BEntID":281206,"AbstractFlag":1,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"}],"urls":[{"URL":"https://dx.doi.org/10.1016/j.automatica.2017.02.030","externalID":"10.1016/j.automatica.2017.02.030","URLTypeCode":"DOI","URLID":58048,"URLTypID":13,"URLType":"DOI","URLPrefix":"http://dx.doi.org/"}],"thesterms":[{"ThesaurusTerm":"Modelling & Prediction","ThestID":169606,"Acronym":"KTPS","ThesTypID":10,"ThesType":"Assemble Sectors"},{"ThesaurusTerm":"Others","ThestID":169566,"Acronym":"KTPS","ThesTypID":10,"ThesType":"Assemble Sectors"},{"ThesaurusTerm":"Scientific Community","ThestID":169557,"Acronym":"KTPUT","ThesTypID":9,"ThesType":"Assemble User Types"},{"ThesaurusTerm":"Scientific Publication","ThestID":169548,"Acronym":"KTPKO","ThesTypID":8,"ThesType":"Assemble KO Types"},{"ThesaurusTerm":"Software/Modelling Tool","ThestID":169550,"Acronym":"KTPKO","ThesTypID":8,"ThesType":"Assemble KO Types"}],"taxterms":null,"geoterms":null,"othterms":null,"asfacodes":null,"asfa2codes":null,"thestermsFRIS":[{"ThesaurusTerm":"Modelling & Prediction","DutchTerm":null,"ThestID":169606,"Acronym":"KTPS","ThesTypID":10,"ThesType":"Assemble Sectors"},{"ThesaurusTerm":"Others","DutchTerm":null,"ThestID":169566,"Acronym":"KTPS","ThesTypID":10,"ThesType":"Assemble Sectors"},{"ThesaurusTerm":"Scientific Community","DutchTerm":null,"ThestID":169557,"Acronym":"KTPUT","ThesTypID":9,"ThesType":"Assemble User Types"},{"ThesaurusTerm":"Scientific Publication","DutchTerm":null,"ThestID":169548,"Acronym":"KTPKO","ThesTypID":8,"ThesType":"Assemble KO Types"},{"ThesaurusTerm":"Software/Modelling Tool","DutchTerm":null,"ThestID":169550,"Acronym":"KTPKO","ThesTypID":8,"ThesType":"Assemble KO Types"}],"taxtermsFRIS":null,"geotermsFRIS":null,"othtermsFRIS":null,"resmessage":"","complete":1,"sessions":{"newSesName":"Lyssens, Liesbeth, L.","newSesDate":{"date":"2017-09-18 22:10:53.193000","timezone_type":3,"timezone":"Europe/Brussels"},"updSesName":"Bouchti, Zohra, Z.","updSesDate":{"date":"2017-09-19 10:30:29.910000","timezone_type":3,"timezone":"Europe/Brussels"}}}