Detail publikace

DERIVATION AND PRACTICAL COMPARISON OF RECURSIVE LS AND TLS SYSTEM IDENTIFICATION METHODS

FRIML, D.

Originální název

DERIVATION AND PRACTICAL COMPARISON OF RECURSIVE LS AND TLS SYSTEM IDENTIFICATION METHODS

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

error in variables, recursive least squares, recursive total least squares, akaike information criteria, bayes information criteria, identification, Rayleigh quotient, inverse iteration

Autoři

FRIML, D.

Vydáno

23. 4. 2021

ISBN

978-80-214-5942-7

Kniha

PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021

ISSN

2788-1334

Periodikum

Proceedings II of the Conference STUDENT EEICT

Stát

Česká republika

Strany od

404

Strany do

409

Strany počet

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"
}