About: ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING

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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	The paper is focused on the control of active magnetic bearing using improved version of Q-learning. The improvement subsists in separating the Q-learning into two phases – efficient prelearning phase, which uses mathematical model of real system, and tutorage phase working with the real system and used for further improvement. Q-learning based controller is compared with PID controller and shows better results regarding the percentage of successful trials. When tutorage is applied the Q-learning based controllers show better results also in terms of control quality criterion. The policy found by learning express high robustness against errors of system variables observations. The paper is focused on the control of active magnetic bearing using improved version of Q-learning. The improvement subsists in separating the Q-learning into two phases – efficient prelearning phase, which uses mathematical model of real system, and tutorage phase working with the real system and used for further improvement. Q-learning based controller is compared with PID controller and shows better results regarding the percentage of successful trials. When tutorage is applied the Q-learning based controllers show better results also in terms of control quality criterion. The policy found by learning express high robustness against errors of system variables observations. (en) The paper is focused on the control of active magnetic bearing using improved version of Q-learning. The improvement subsists in separating the Q-learning into two phases – efficient prelearning phase, which uses mathematical model of real system, and tutorage phase working with the real system and used for further improvement. Q-learning based controller is compared with PID controller and shows better results regarding the percentage of successful trials. When tutorage is applied the Q-learning based controllers show better results also in terms of control quality criterion. The policy found by learning express high robustness against errors of system variables observations. (cs)
Title	ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING (en) ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING (cs)
skos:prefLabel	ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING (en) ACTIVE MAGNETIC BEARING CONTROL THROUGH Q-LEARNING (cs)
skos:notation	RIV/00216305:26210/03:PU34278!RIV11-MSM-26210___
http://linked.open...avai/riv/aktivita	V Z
http://linked.open...avai/riv/aktivity	V, Z(MSM 261100009), Z(MSM 262100024)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Krejsa, Jiří Březina, Tomáš Kratochvíl, Ctirad
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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 strojního inženýrství
http://linked.open...dnocenehoVysledku	597384
http://linked.open...ai/riv/idVysledku	RIV/00216305:26210/03:PU34278
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	Q-learning, control, active magnetic bearing (en)
http://linked.open.../riv/klicoveSlovo	control Q-learning active magnetic bearing
http://linked.open...ontrolniKodProRIV	[07B57523D0DB]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	Dynamics of Machines 2003
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2003
http://linked.open...iv/tvurceVysledku	Březina, Tomáš Krejsa, Jiří Kratochvíl, Ctirad
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2003-02-11 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20262100024 http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20261100009
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Ústav termomechaniky AV ČR
https://schema.org/isbn	80-85918-81-1
http://localhost/t...ganizacniJednotka	26210

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