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Detail publikace
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
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" }