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Publication detail
FRIML, D.
Original Title
DERIVATION AND PRACTICAL COMPARISON OF RECURSIVE LS AND TLS SYSTEM IDENTIFICATION METHODS
Type
conference paper
Language
English
Original Abstract
The least squares (LS) type of methods are the most widely used methods in system iden- tification despite their obvious imperfection. Such methods use a regressor, that is supposed not to contain any error, notwithstanding that it is constructed from measured data. This can be solved by using the total least squares (TLS) type of methods. Derivation of both batch and recursive methods of LS and TLS for identification and their practical comparison is presented in this paper.
Keywords
error in variables, recursive least squares, recursive total least squares, akaike information criteria, bayes information criteria, identification, Rayleigh quotient, inverse iteration
Authors
Released
23. 4. 2021
ISBN
978-80-214-5942-7
Book
PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021
2788-1334
Periodical
Proceedings II of the Conference STUDENT EEICT
State
Czech Republic
Pages from
404
Pages to
409
Pages count
6
URL
https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf
BibTex
@inproceedings{BUT172343, author="Dominik {Friml}", title="DERIVATION AND PRACTICAL COMPARISON OF RECURSIVE LS AND TLS SYSTEM IDENTIFICATION METHODS", booktitle="PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021", year="2021", journal="Proceedings II of the Conference STUDENT EEICT", pages="404--409", isbn="978-80-214-5942-7", issn="2788-1334", url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf" }