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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
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" }