Publication detail

Adaptivní regulátory s principy umělé inteligence a jejich porovnání s klasickými přístupy

DOKOUPIL, J.

Original Title

Adaptivní regulátory s principy umělé inteligence a jejich porovnání s klasickými přístupy

English Title

Adaptive controllers with principles of artificial inteligence and its comparison with classical identifications methods

Type

conference paper

Language

Czech

Original Abstract

Článek se se zaměřuje na komparaci rekurzivních metod identifikací postavených na bázi koncepčních metod nejmenších čtverců a umělé inteligence.

English abstract

Presented article is focused on on-line parametric identification methods based on least-squares algorithms and neural networks. The strategy for preventing the problem known as estimator windup which is typical of exponential forgetting algorithm is solved here as well as the observance of positive definition of information matrix. Some ways how to improve accuracy of both methods are also proposed. These properties make them suitable for adaptive control, but a little supremacy is still on the side of methods based on least-squares algorithms.

Key words in English

adaptive system identification, least-squares, artificial intelligence, restricted forgetting, U-D decomposition, Cholesky decomposition, RIV, RPLR, RPEM

Authors

DOKOUPIL, J.

Released

23. 4. 2009

Publisher

NOVPRESS s.r.o., nám. Republiky 15, 614 00 Brno

ISBN

978-80-214-3870-5

Book

Proceedings of the 14th conference, STUDENT EEICT 2008, Volume 3

Edition number

1

Pages from

98

Pages to

100

Pages count

3

BibTex

@inproceedings{BUT31287,
  author="Jakub {Dokoupil}",
  title="Adaptivní regulátory s principy umělé inteligence a jejich porovnání s klasickými přístupy",
  booktitle="Proceedings of the 14th conference, STUDENT EEICT 2008, Volume 3",
  year="2009",
  number="1",
  pages="98--100",
  publisher="NOVPRESS s.r.o., nám. Republiky 15, 614 00 Brno",
  isbn="978-80-214-3870-5"
}