Detail publikace

Applications of Neural Networks in Real-Time Identification

DOHNAL, J., PIVOŇKA, P.

Originální název

Applications of Neural Networks in Real-Time Identification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Identification of dynamic systems is essential for adaptive control. Obviously, we have to obtain information on the dynamic behavior of the whole system - to identify it. One approach is the monitoring of the system characteristics, refinement and thus eliminating potential changes. The most frequently used method is the least squares method. Its advantage is the fast determination of the sought-for parameters, however, we are limited by the choice of the suitable sampling period T0. Making sampling period even shorter leads to unrealistic estimates of the state. The neural network seems to be a desirable solution. The neural network application in progress identification, mainly the Levenberg-Marquardt training algorithm is discussed.

Klíčová slova v angličtině

Real-Time Identification, Neural Network, Backpropagation Algorithm, Levenberg-Marquardt Algorithm

Autoři

DOHNAL, J., PIVOŇKA, P.

Rok RIV

2004

Vydáno

8. 9. 2004

Nakladatel

Rektor der Hochschule Zittau/Görlitz

Místo

Zittau, Germany

ISBN

3-9808089-5-5

Kniha

Proceedings East West Fuzzy Colloquium 2004

Strany od

156

Strany do

161

Strany počet

6

BibTex

@inproceedings{BUT11418,
  author="Jiří {Dohnal} and Petr {Pivoňka}",
  title="Applications of Neural Networks in Real-Time Identification",
  booktitle="Proceedings East West Fuzzy Colloquium 2004",
  year="2004",
  pages="6",
  publisher="Rektor der Hochschule Zittau/Görlitz",
  address="Zittau, Germany",
  isbn="3-9808089-5-5"
}