Publication detail

Applications of Neural Networks in Real-Time Identification

DOHNAL, J., PIVOŇKA, P.

Original Title

Applications of Neural Networks in Real-Time Identification

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

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

Authors

DOHNAL, J., PIVOŇKA, P.

RIV year

2004

Released

8. 9. 2004

Publisher

Rektor der Hochschule Zittau/Görlitz

Location

Zittau, Germany

ISBN

3-9808089-5-5

Book

Proceedings East West Fuzzy Colloquium 2004

Pages from

156

Pages to

161

Pages count

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"
}