Publication detail

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

FRIML, D.

Original Title

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

Type

article in a collection out of WoS and Scopus

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

FRIML, D.

Released

23. 4. 2021

ISBN

978-80-214-5942-7

Book

PROCEEDINGS I OF THE 27TH STUDENT EEICT 2021

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",
  pages="404--409",
  isbn="978-80-214-5942-7",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf"
}