Detail publikace

A Levenberg-Marquardt algorithm with instrumental variables and its application on the identification of dynamic system

DOKOUPIL, J. PIVOŇKA, P.

Originální název

A Levenberg-Marquardt algorithm with instrumental variables and its application on the identification of dynamic system

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article deals with process identification, using nonlinear ARX model via feed-forward multilayer neural network. Estimation of network parameters is achieved using the Levenberg-Marquardt (LM) method in iterative batch mode adaptation. In order to obtain consistent estimate, original implementations of LM algorithm - which include instrumental variables (IV) technique - are suggested. Basic and extended IV methods are presented as some of the IV methods. Advantages of the proposed approach are illustrated in the example simulations on the real process, using B&R PLC.

Klíčová slova

Neural networks, Levenberg-Marquardt, NARX, Instrumental variables, System identification

Autoři

DOKOUPIL, J.; PIVOŇKA, P.

Rok RIV

2010

Vydáno

20. 10. 2010

Nakladatel

DAAAM International Vienna

Místo

TU Wien Karlsplatz 13/311 A-1040 Vienna Austria

ISBN

978-3-901509-73-5

Kniha

Annals of DAAAM for 2010 & Proceedings of the 21st International DAAAM Symposium, No1

Edice

2010

Číslo edice

1

Strany od

1359

Strany do

1360

Strany počet

2

BibTex

@inproceedings{BUT35747,
  author="Jakub {Dokoupil} and Petr {Pivoňka}",
  title="A Levenberg-Marquardt algorithm with instrumental variables and its application on the identification of dynamic system",
  booktitle="Annals of DAAAM for 2010 & Proceedings of the 21st International DAAAM Symposium, No1",
  year="2010",
  series="2010",
  number="1",
  pages="1359--1360",
  publisher="DAAAM International Vienna",
  address="TU Wien
Karlsplatz 13/311
A-1040 Vienna Austria",
  isbn="978-3-901509-73-5"
}