Detail publikace
Neural Controllers in Real Process Control
PIVOŇKA, P., ŽIŽKA, J.
Originální název
Neural Controllers in Real Process Control
Anglický název
Neural Controllers in Real Process Control
Jazyk
en
Originální abstrakt
This paper desribes the use of artificial neural net-based controllers for real process control. The back-propagation algorithm makes the base for the adaptive control strategy of a layered neural network. Several possible architectures of neural net-based controllers are presented. Experimental verificationof a particular controller structure is demonstrated using simulation and real models of various processes.
Anglický abstrakt
This paper desribes the use of artificial neural net-based controllers for real process control. The back-propagation algorithm makes the base for the adaptive control strategy of a layered neural network. Several possible architectures of neural net-based controllers are presented. Experimental verificationof a particular controller structure is demonstrated using simulation and real models of various processes.
Dokumenty
BibTex
@inbook{BUT52845,
author="Petr {Pivoňka} and Jan {Žižka}",
title="Neural Controllers in Real Process Control",
annote="This paper desribes the use of artificial neural net-based controllers for real process control. The back-propagation algorithm makes the base for the adaptive control strategy of a layered neural network. Several possible architectures of neural net-based controllers are presented. Experimental verificationof a particular controller structure is demonstrated using simulation and real models of various processes.",
address="Scitec Publications Ltd, Zuerich-Uetikon",
booktitle="Scitec Publications",
chapter="52845",
institution="Scitec Publications Ltd, Zuerich-Uetikon",
journal="ISSN 1420-410X Advanced Manufacturing Forum",
number="1",
year="1995",
month="january",
pages="255",
publisher="Scitec Publications Ltd, Zuerich-Uetikon",
type="book chapter"
}