About: Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper ability of three identification methods to parameter estimation of the dynamic plant with great ratio of its time constant to sampling periods is compared. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown, that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. Taking advantage of this result, we propose here an adaptive conttroller with a neural network as on-line estimator. Simple heuristic synthesis based on modified Ziegler-Nichols open loop method (Z-N 1) are discussed, that deals with bad-estimated model of a plant and gives numerically stable parameters of the PID discrete controller. In this paper ability of three identification methods to parameter estimation of the dynamic plant with great ratio of its time constant to sampling periods is compared. We concentrate our attention on dealing with adverse effects that work on real-time identification of process, especially quantization. It is shown, that a neural network applied to on-line identification process produces more stable solution in the rapid sampling domain. Taking advantage of this result, we propose here an adaptive conttroller with a neural network as on-line estimator. Simple heuristic synthesis based on modified Ziegler-Nichols open loop method (Z-N 1) are discussed, that deals with bad-estimated model of a plant and gives numerically stable parameters of the PID discrete controller. (en) Článek se zabývá třemi identifikačními metodami estimace parametrů dynamických systémů s ohledem na použití krátké periody vzorkování. (cs)
Title	Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates (en) Adaptivní regulátor s identifikací neuronovou sítí pro systémy s krátkou periodou vzorkování (cs)
skos:prefLabel	Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates Adaptive Controller with Identification Based on Neural Network for Systems with Rapid Sampling Rates (en) Adaptivní regulátor s identifikací neuronovou sítí pro systémy s krátkou periodou vzorkování (cs)
skos:notation	RIV/00216305:26220/05:PU50366!RIV06-MSM-26220___
http://linked.open.../vavai/riv/strany	385-388
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021630503)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2006
http://linked.open...aciTvurceVysledku	Veleba, Václav Pivoňka, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	511376
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/05:PU50366
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Rapid Sampling, Quantization, Neural Network, Training Set, Levenberg-Marquardt Minimization, Discrete PID Controller, RLS Identification Method (en)
http://linked.open.../riv/klicoveSlovo	Neural Network Quantization Discrete PID Controller Levenberg-Marquardt Minimization RLS Identification Method Rapid Sampling Training Set
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[BDB68AE14E69]
http://linked.open...i/riv/nazevZdroje	WSEAS Transactions on Systems
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2005
http://linked.open...v/svazekPeriodika	4
http://linked.open...iv/tvurceVysledku	Pivoňka, Petr Veleba, Václav
http://linked.open...n/vavai/riv/zamer	Nové trendy v mikroelektronických systémech a nanotechnologiích (MIKROSYN)
issn	1109-2777
number of pages	4 (xsd:int)
http://localhost/t...ganizacniJednotka	26220
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