Derivation And Practical Comparison Of Recursive Ls And Tls System Identification Methods
but.event.date | 27.04.2021 | cs |
but.event.title | STUDENT EEICT 2021 | cs |
dc.contributor.author | Friml, Dominik | |
dc.date.accessioned | 2021-07-21T07:07:00Z | |
dc.date.available | 2021-07-21T07:07:00Z | |
dc.date.issued | 2021 | cs |
dc.description.abstract | The 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 paper | en |
dc.format | text | cs |
dc.format.extent | 404-409 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 404-409. ISBN 978-80-214-5942-7 | cs |
dc.identifier.isbn | 978-80-214-5942-7 | |
dc.identifier.uri | http://hdl.handle.net/11012/200790 | |
dc.language.iso | en | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers | en |
dc.relation.uri | https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | error in variables | en |
dc.subject | recursive least squares | en |
dc.subject | recursive total least squares | en |
dc.subject | akaike informationcriteria | en |
dc.subject | bayes information criteria | en |
dc.subject | identification | en |
dc.subject | Rayleigh quotient | en |
dc.subject | inverse iteration | en |
dc.title | Derivation And Practical Comparison Of Recursive Ls And Tls System Identification Methods | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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