About: Artificial Neural Networks for On-Line Trained Controllers

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper deals with the use of artificial neural networks employed as an on-line trained controller for a real process and simulation model control. Well-known back-propagation method is used as a learning algorithm intended to minimize the difference between the plant’s actual response and the desired reference signal. The influence of neural network’s parameters on a controlled plant output is discussed. We also attempted to find the rules of these parameters adjustment in view of the type of a trannsfer function in Laplace transform and tested the robustness of our controller burdened with the error signal. Some simulation and real process control results are also presented to evaluate the proposed design. Discussed in the last chapter are the possibilities of creating an adaptive neural controller. This paper deals with the use of artificial neural networks employed as an on-line trained controller for a real process and simulation model control. Well-known back-propagation method is used as a learning algorithm intended to minimize the difference between the plant’s actual response and the desired reference signal. The influence of neural network’s parameters on a controlled plant output is discussed. We also attempted to find the rules of these parameters adjustment in view of the type of a trannsfer function in Laplace transform and tested the robustness of our controller burdened with the error signal. Some simulation and real process control results are also presented to evaluate the proposed design. Discussed in the last chapter are the possibilities of creating an adaptive neural controller. (en)
Title	Artificial Neural Networks for On-Line Trained Controllers Artificial Neural Networks for On-Line Trained Controllers (en)
skos:prefLabel	Artificial Neural Networks for On-Line Trained Controllers Artificial Neural Networks for On-Line Trained Controllers (en)
skos:notation	RIV/00216305:26220/01:PU21008!RIV/2002/GA0/262202/N
http://linked.open.../vavai/riv/strany	189-194
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/01/1485), Z(MSM 260000013)
http://linked.open...vai/riv/dodaniDat	2002
http://linked.open...aciTvurceVysledku	Pivoňka, Petr
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	673888
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/01:PU21008
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	back-propagation, artificial neural nets, neural controller, adaptive neural controller (en)
http://linked.open.../riv/klicoveSlovo	adaptive neural controller artificial neural nets neural controller back-propagation
http://linked.open...ontrolniKodProRIV	[F4A070546556]
http://linked.open...i/riv/mistoVydani	http://www.worldses.org
http://linked.open...vEdiceCisloSvazku	Electrical and Computer Engineering Series - A se
http://linked.open...i/riv/nazevZdroje	Advances in Systems Science: Measurement, Circuits and Control
http://linked.open...in/vavai/riv/obor	JB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...vavai/riv/projekt	Enviroment for development, modelling and application of heterogenous systems
http://linked.open...UplatneniVysledku	2001
http://linked.open...iv/tvurceVysledku	Pivoňka, Petr
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20260000013
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Published by WSES Press, http://www.worldses.org
https://schema.org/isbn	960-8052-39-4
http://localhost/t...ganizacniJednotka	26220

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