Derivation And Practical Comparison Of Recursive Ls And Tls System Identification Methods

but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorFriml, Dominik
dc.date.accessioned2021-07-21T07:07:00Z
dc.date.available2021-07-21T07:07:00Z
dc.date.issued2021cs
dc.description.abstractThe least squares (LS) type of methods are the most widely used methods in system identificationdespite their obvious imperfection. Such methods use a regressor, that is supposed not tocontain any error, notwithstanding that it is constructed from measured data. This can be solved byusing the total least squares (TLS) type of methods. Derivation of both batch and recursive methodsof LS and TLS for identification and their practical comparison is presented in this paperen
dc.formattextcs
dc.format.extent404-409cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 404-409. ISBN 978-80-214-5942-7cs
dc.identifier.isbn978-80-214-5942-7
dc.identifier.urihttp://hdl.handle.net/11012/200790
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 27st Conference STUDENT EEICT 2021: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjecterror in variablesen
dc.subjectrecursive least squaresen
dc.subjectrecursive total least squaresen
dc.subjectakaike informationcriteriaen
dc.subjectbayes information criteriaen
dc.subjectidentificationen
dc.subjectRayleigh quotienten
dc.subjectinverse iterationen
dc.titleDerivation And Practical Comparison Of Recursive Ls And Tls System Identification Methodsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
404_eeict-2021_1.pdf
Size:
6.13 MB
Format:
Adobe Portable Document Format
Description: