Array
(
[page] => 76
[item_count] => 2086
[items_per_page] => 15
[data] => Array
(
[0] => Array
(
[vysledek_id] => 45412
[vysledek_druh_id] => ART
[ex_vysledek_id] => 45585
[vysledek_rok] => 2004
[nazev] => Q-learned Controller Performance of Asynchronous electromotor
[nazev_orig] => Q-learned Controller Performance of Asynchronous electromotor
[duvernost_udaju_id] => S
[popis] => The contribution is focused on the application of Q-learning on asynchronous electromotor (AE) control. The learning process was divided into two phases – prelearning stage and tutorage stage. Tutorage stage uses conventional Q-learning procedure applied on Q function created during the prelearning stage. Tutorage is expected to be processed on real AE plant and its use for controller adaptation on possible system parameters changes is not excluded. Based on the tests the best grids of Q-function table for 2-D state and 3-D state were selected and obtained policies performance was compared with the performance of AE controlled by PID, which was tuned through Ziegler-Nichols methodology.
[popis_orig] => The contribution is focused on the application of Q-learning on asynchronous electromotor (AE) control. The learning process was divided into two phases – prelearning stage and tutorage stage. Tutorage stage uses conventional Q-learning procedure applied on Q function created during the prelearning stage. Tutorage is expected to be processed on real AE plant and its use for controller adaptation on possible system parameters changes is not excluded. Based on the tests the best grids of Q-function table for 2-D state and 3-D state were selected and obtained policies performance was compared with the performance of AE controlled by PID, which was tuned through Ziegler-Nichols methodology.
[klicova_slova] => Asynchronous electromotor, Q-learning, Control
[klicova_slova_orig] => Asynchronous electromotor, Q-learning, Control
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Ústav mechaniky těles, mechatroniky a biomechaniky
[odpovedny_utvar_zkratka] => ÚMTMB
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2011-05-17
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => MARADA, T., BŘEZINA, T.
[pocet_tvurcu] => 2
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 0033-2089
[identifikator_popis] => ISSN - Elektronika (PL)
[riv_dodavka_id] => 65
[riv_dodavka_oznaceni] => RIV11-MSM-26210___
[riv_dodavka_rok] => 2011
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => MARADA, T., BŘEZINA, T. Q-learned Controller Performance of Asynchronous electromotor. Elektronika, 2004, vol. 2004, no. 8-9, 5 p. ISSN: 0033-2089.
[citace_html] => MARADA, T., BŘEZINA, T. Q-learned Controller Performance of Asynchronous electromotor. Elektronika, 2004, vol. 2004, no. 8-9, 5 p. ISSN: 0033-2089.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45412,
author="Tomáš {Marada} and Tomáš {Březina}",
title="Q-learned Controller Performance of Asynchronous electromotor",
journal="Elektronika",
year="2004",
volume="2004",
number="8-9",
pages="5",
issn="0033-2089"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Q-learned Controller Performance of Asynchronous electromotor
[popis_en] => The contribution is focused on the application of Q-learning on asynchronous electromotor (AE) control. The learning process was divided into two phases – prelearning stage and tutorage stage. Tutorage stage uses conventional Q-learning procedure applied on Q function created during the prelearning stage. Tutorage is expected to be processed on real AE plant and its use for controller adaptation on possible system parameters changes is not excluded. Based on the tests the best grids of Q-function table for 2-D state and 3-D state were selected and obtained policies performance was compared with the performance of AE controlled by PID, which was tuned through Ziegler-Nichols methodology.
[klicova_slova_en] => Asynchronous electromotor, Q-learning, Control
[vysledek_datum] => 2004-09-23T00:00:00+02:00
)
[1] => Array
(
[vysledek_id] => 45414
[vysledek_druh_id] => ART
[ex_vysledek_id] => 45599
[vysledek_rok] => 2004
[nazev] => Global versus local aproximation in inverse problem
[nazev_orig] => Global versus local aproximation in inverse problem
[duvernost_udaju_id] => S
[popis] => The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR).
[popis_orig] => The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR).
[klicova_slova] => inverse problem, approximators, neural networks, weighted regression
[klicova_slova_orig] => inverse problem, approximators, neural networks, weighted regression
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Ústav mechaniky těles, mechatroniky a biomechaniky
[odpovedny_utvar_zkratka] => ÚMTMB
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => KREJSA, J., VĚCHET, S., PULCHART, J.
[pocet_tvurcu] => 3
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 0033-2089
[identifikator_popis] => ISSN - Elektronika (PL)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => KREJSA, J., VĚCHET, S., PULCHART, J. Global versus local aproximation in inverse problem. Elektronika, 2004, vol. 2004, no. 8-9, 4 p. ISSN: 0033-2089.
[citace_html] => KREJSA, J., VĚCHET, S., PULCHART, J. Global versus local aproximation in inverse problem. Elektronika, 2004, vol. 2004, no. 8-9, 4 p. ISSN: 0033-2089.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45414,
author="Jiří {Krejsa} and Stanislav {Věchet} and Jaroslav {Pulchart}",
title="Global versus local aproximation in inverse problem",
journal="Elektronika",
year="2004",
volume="2004",
number="8-9",
pages="4",
issn="0033-2089"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Global versus local aproximation in inverse problem
[popis_en] => The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR).
[klicova_slova_en] => inverse problem, approximators, neural networks, weighted regression
[vysledek_datum] => 2004-09-23T00:00:00+02:00
)
[2] => Array
(
[vysledek_id] => 45422
[vysledek_druh_id] => ART
[ex_vysledek_id] => 45631
[vysledek_rok] => 2004
[nazev] => Asynchronous electromotor controller tuned hrough CARLA method
[nazev_orig] => Asynchronous electromotor controller tuned hrough CARLA method
[duvernost_udaju_id] => S
[popis] => Relatively unknown reinforcement learning algorithm, so called continuous action reinforcement learning automaton, is presented in this contribution. Automaton learning algorithm is based on rewarding, that gradually evolves set of probability densities. This set is consequently used for action set determination. Simulation study describing learning and behavior of asynchronous electromotor control is further presented. Standard PSD controller is used whose parameter values represent actions of three independent automata. The aim of online learning process is to minimize mean square of control error. Here described learning algorithm is simple to implement and robust to high level of noise.
[popis_orig] => Relatively unknown reinforcement learning algorithm, so called continuous action reinforcement learning automaton, is presented in this contribution. Automaton learning algorithm is based on rewarding, that gradually evolves set of probability densities. This set is consequently used for action set determination. Simulation study describing learning and behavior of asynchronous electromotor control is further presented. Standard PSD controller is used whose parameter values represent actions of three independent automata. The aim of online learning process is to minimize mean square of control error. Here described learning algorithm is simple to implement and robust to high level of noise.
[klicova_slova] => Asynchronous electromotor, CARLA, Control
[klicova_slova_orig] => Asynchronous electromotor, CARLA, Control
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 207
[odpovedny_utvar_nazev] => Ústav automatizace a informatiky
[odpovedny_utvar_zkratka] => ÚAI
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2011-05-17
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => BŘEZINA, T., TUREK, M.
[pocet_tvurcu] => 2
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 0033-2089
[identifikator_popis] => ISSN - Elektronika (PL)
[riv_dodavka_id] => 65
[riv_dodavka_oznaceni] => RIV11-MSM-26210___
[riv_dodavka_rok] => 2011
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => BŘEZINA, T., TUREK, M. Asynchronous electromotor controller tuned hrough CARLA method. Elektronika, 2004, vol. 2004, no. 8-9, 4 p. ISSN: 0033-2089.
[citace_html] => BŘEZINA, T., TUREK, M. Asynchronous electromotor controller tuned hrough CARLA method. Elektronika, 2004, vol. 2004, no. 8-9, 4 p. ISSN: 0033-2089.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45422,
author="Tomáš {Březina} and Milan {Turek}",
title="Asynchronous electromotor controller tuned hrough CARLA method",
journal="Elektronika",
year="2004",
volume="2004",
number="8-9",
pages="4",
issn="0033-2089"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Asynchronous electromotor controller tuned hrough CARLA method
[popis_en] => Relatively unknown reinforcement learning algorithm, so called continuous action reinforcement learning automaton, is presented in this contribution. Automaton learning algorithm is based on rewarding, that gradually evolves set of probability densities. This set is consequently used for action set determination. Simulation study describing learning and behavior of asynchronous electromotor control is further presented. Standard PSD controller is used whose parameter values represent actions of three independent automata. The aim of online learning process is to minimize mean square of control error. Here described learning algorithm is simple to implement and robust to high level of noise.
[klicova_slova_en] => Asynchronous electromotor, CARLA, Control
[vysledek_datum] => 2004-09-23T00:00:00+02:00
)
[3] => Array
(
[vysledek_id] => 45424
[vysledek_druh_id] => ART
[ex_vysledek_id] => 45638
[vysledek_rok] => 2004
[nazev] => Efficient Q-learning modification aplied on active magnetic bearing control
[nazev_orig] => Efficient Q-learning modification aplied on active magnetic bearing control
[duvernost_udaju_id] => S
[popis] => The paper is focused on use of Q-learning for active magnetic bearing (AMB) control. Q-learning belongs to the reinforcement learning methods which are the part of real time machine learning approaches. The essence of proposed method is in separating the Q-learning into two phases – prelearning phase, which use mathematical model of real system and tutorage phase, which works with the real system and is used for further improvement of Q-values found during the prelearning phase. Proposed learning method, used in prelearning phase, proved to be highly efficient. Controller based on Q-learning show better results (regarding the number of successful trials) than referential PID controller after only 1000 table passes. The control quality criterion results are comparable. The policy found by learning also shows high robustness against errors of system variables observations, even only very simple reinforcement function in shape of simple reduced penalty is used.
[popis_orig] => The paper is focused on use of Q-learning for active magnetic bearing (AMB) control. Q-learning belongs to the reinforcement learning methods which are the part of real time machine learning approaches. The essence of proposed method is in separating the Q-learning into two phases – prelearning phase, which use mathematical model of real system and tutorage phase, which works with the real system and is used for further improvement of Q-values found during the prelearning phase. Proposed learning method, used in prelearning phase, proved to be highly efficient. Controller based on Q-learning show better results (regarding the number of successful trials) than referential PID controller after only 1000 table passes. The control quality criterion results are comparable. The policy found by learning also shows high robustness against errors of system variables observations, even only very simple reinforcement function in shape of simple reduced penalty is used.
[klicova_slova] => Reinforcement learning, Q-learning, Active magnetic bearing
[klicova_slova_orig] => Reinforcement learning, Q-learning, Active magnetic bearing
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Ústav mechaniky těles, mechatroniky a biomechaniky
[odpovedny_utvar_zkratka] => ÚMTMB
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2011-05-17
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => BŘEZINA, T., KREJSA, J.
[pocet_tvurcu] => 2
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1210-2717
[identifikator_popis] => ISSN - Inženýrská mechanika - Engineering Mechanics (CZ)
[riv_dodavka_id] => 65
[riv_dodavka_oznaceni] => RIV11-MSM-26210___
[riv_dodavka_rok] => 2011
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => BŘEZINA, T., KREJSA, J. Efficient Q-learning modification aplied on active magnetic bearing control. Inženýrská mechanika - Engineering Mechanics, 2004, vol. 11/2004, no. 2, 14 p. ISSN: 1210-2717.
[citace_html] => BŘEZINA, T., KREJSA, J. Efficient Q-learning modification aplied on active magnetic bearing control. Inženýrská mechanika - Engineering Mechanics, 2004, vol. 11/2004, no. 2, 14 p. ISSN: 1210-2717.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45424,
author="Tomáš {Březina} and Jiří {Krejsa}",
title="Efficient Q-learning modification aplied on active magnetic bearing control",
journal="Inženýrská mechanika - Engineering Mechanics",
year="2004",
volume="11/2004",
number="2",
pages="14",
issn="1210-2717"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Efficient Q-learning modification aplied on active magnetic bearing control
[popis_en] => The paper is focused on use of Q-learning for active magnetic bearing (AMB) control. Q-learning belongs to the reinforcement learning methods which are the part of real time machine learning approaches. The essence of proposed method is in separating the Q-learning into two phases – prelearning phase, which use mathematical model of real system and tutorage phase, which works with the real system and is used for further improvement of Q-values found during the prelearning phase. Proposed learning method, used in prelearning phase, proved to be highly efficient. Controller based on Q-learning show better results (regarding the number of successful trials) than referential PID controller after only 1000 table passes. The control quality criterion results are comparable. The policy found by learning also shows high robustness against errors of system variables observations, even only very simple reinforcement function in shape of simple reduced penalty is used.
[klicova_slova_en] => Reinforcement learning, Q-learning, Active magnetic bearing
[vysledek_datum] => 2004-11-01T00:00:00+01:00
)
[4] => Array
(
[vysledek_id] => 45504
[vysledek_druh_id] => ART
[ex_vysledek_id] => 51749
[vysledek_rok] => 2005
[nazev] => Návrh robustního řízení modifikovaným Q-učením
[nazev_orig] => Návrh robustního řízení modifikovaným Q-učením
[duvernost_udaju_id] => S
[popis] => Metoda Q-učení je algoritmus ze skupiny opakovaně posilovaného učení. Standardní metoda Q=učení pracuje s dikrétními stavy a akcemi. V této práci je presentována metoda spojitého Q-učení, která vznikla modifikací standardního algoritmu.
[popis_orig] => Metoda Q-učení je algoritmus ze skupiny opakovaně posilovaného učení. Standardní metoda Q=učení pracuje s dikrétními stavy a akcemi. V této práci je presentována metoda spojitého Q-učení, která vznikla modifikací standardního algoritmu.
[klicova_slova] => Q-učení, Strojové učení
[klicova_slova_orig] => Q-učení, Strojové učení
[url] =>
[oecd_obor_id] => 10201
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Ústav mechaniky těles, mechatroniky a biomechaniky
[odpovedny_utvar_zkratka] => ÚMTMB
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => cs
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => VĚCHET, S.
[pocet_tvurcu] => 1
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1213-4198
[identifikator_popis] => ISSN - Vědecké spisy Vysokého učení technického v Brně
Edice PhD Thesis (CZ)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => VĚCHET, S. Návrh robustního řízení modifikovaným Q-učením. Vědecké spisy Vysokého učení technického v Brně Edice PhD Thesis, 2005, č. 1, 29 s. ISSN: 1213-4198.
[citace_html] => VĚCHET, S. Návrh robustního řízení modifikovaným Q-učením. Vědecké spisy Vysokého učení technického v Brně Edice PhD Thesis, 2005, č. 1, 29 s. ISSN: 1213-4198.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45504,
author="Stanislav {Věchet}",
title="Návrh robustního řízení modifikovaným Q-učením",
journal="Vědecké spisy Vysokého učení technického v Brně
Edice PhD Thesis",
year="2005",
number="1",
pages="29",
issn="1213-4198"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 10000
[oecd_tree_oblast_nazev] => 1. Natural Sciences
[oecd_tree_obor_id] => 10200
[oecd_tree_obor_nazev] => 1.2 Computer and information sciences
[oecd_tree_podobor_id] => 10201
[oecd_tree_podobor_nazev] => Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
[poznamka_metriky] =>
[nazev_en] => The proposal of robust control through modified Q-learning
[popis_en] => Q-learning is a popular learning method from group of reinforcement learning algorithms. Standard Q-learning algorithm is based on discrete state-action space. If is necessary to used Q-learning in continuous space, the another approach is needed. In this work the method how to modify Q-learning is presented.
[klicova_slova_en] => Q-learnin, Machine learning
[vysledek_datum] => 2005-01-01T00:00:00+01:00
)
[5] => Array
(
[vysledek_id] => 45543
[vysledek_druh_id] => ART
[ex_vysledek_id] => 52004
[vysledek_rok] => 2005
[nazev] => Design of asynchronous motor controller through Q-learning
[nazev_orig] => Design of asynchronous motor controller through Q-learning
[duvernost_udaju_id] => S
[popis] => The paper is focused on the effect of reinforcement function and the effect of actions set extension on performance of Q-learning used for small asynchronous electric motor control. The learning process was divided into two phases - pre-learning stage and tutorage stage. Pre-learning stage uses conventional q-learning procedure and requires the computation model of asynchronous motor. This phase is very effective. Second stage - tutorage stage already uses real motor for improvement of settings obtained in the first stage. Controller designed this way is used in scalar control.
[popis_orig] => The paper is focused on the effect of reinforcement function and the effect of actions set extension on performance of Q-learning used for small asynchronous electric motor control. The learning process was divided into two phases - pre-learning stage and tutorage stage. Pre-learning stage uses conventional q-learning procedure and requires the computation model of asynchronous motor. This phase is very effective. Second stage - tutorage stage already uses real motor for improvement of settings obtained in the first stage. Controller designed this way is used in scalar control.
[klicova_slova] =>
[klicova_slova_orig] =>
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 207
[odpovedny_utvar_nazev] => Ústav automatizace a informatiky
[odpovedny_utvar_zkratka] => ÚAI
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => MARADA, T., HOUŠKA, P. BŘEZINA, T.
[pocet_tvurcu] => 3
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1210-2717
[identifikator_popis] => ISSN - Inženýrská mechanika - Engineering Mechanics (CZ)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => MARADA, T., HOUŠKA, P. BŘEZINA, T. Design of asynchronous motor controller through Q-learning. Inženýrská mechanika - Engineering Mechanics, 2005, vol. 12, no. A1, p. 37-44. ISSN: 1210-2717.
[citace_html] => MARADA, T., HOUŠKA, P. BŘEZINA, T. Design of asynchronous motor controller through Q-learning. Inženýrská mechanika - Engineering Mechanics, 2005, vol. 12, no. A1, p. 37-44. ISSN: 1210-2717.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45543,
author="Tomáš {Marada} and Pavel {Houška} and Tomáš {Březina}",
title="Design of asynchronous motor controller through Q-learning",
journal="Inženýrská mechanika - Engineering Mechanics",
year="2005",
volume="12",
number="A1",
pages="37--44",
issn="1210-2717"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Design of asynchronous motor controller through Q-learning
[popis_en] => The paper is focused on the effect of reinforcement function and the effect of actions set extension on performance of Q-learning used for small asynchronous electric motor control. The learning process was divided into two phases - pre-learning stage and tutorage stage. Pre-learning stage uses conventional q-learning procedure and requires the computation model of asynchronous motor. This phase is very effective. Second stage - tutorage stage already uses real motor for improvement of settings obtained in the first stage. Controller designed this way is used in scalar control.
[klicova_slova_en] => asynchronous motor, control, q-learning, pre-learning stage, tutorage stage
[vysledek_datum] => 2005-09-20T00:00:00+02:00
)
[6] => Array
(
[vysledek_id] => 45549
[vysledek_druh_id] => ART
[ex_vysledek_id] => 52017
[vysledek_rok] => 2004
[nazev] => Řízení přechodových stavů asynchronního elektromotoru založené na Q-učení
[nazev_orig] => Řízení přechodových stavů asynchronního elektromotoru založené na Q-učení
[duvernost_udaju_id] => S
[popis] => Předložená disertační práce je zaměřena na využití metody Q-učení pro řízení asynchronního elektromotoru. Řízení se skládá z fáze předučení a fáze doučení. Během fáze předučení jsou na výpočtovém modelu prováděny pokusy, které jsou zpracovávány prováděním zálohování Q-učení v reálném čase. Výpočtový model může být pouze přibližný.
V předložené práci je provedeno simulační ověření navržené metody na modelu asynchronního elektromotoru. Při řízení jsou měřeny pouze aktuální otáčky, z nichž je vypočtena aktuální regulační odchylka, její rychlost a zrychlení.
Počáteční testy mají za úkol zjistit, jeví-li se jako vhodnější z hlediska úspěšnosti učení stav prostředí definovaný jako 1-D (uvažující pouze regulační odchylku), 2-D (uvažující regulační odchylku a její rychlost) nebo jako 3-D (uvažující regulační odchylku, její rychlost a zrychlení).
Další experimenty se týkají optimalizace počtu intervalů lineárního a nelineárního rastru jednotlivých stavových veličin. Získané strategie řízení jsou posuzovány nejprve z hlediska dosažené hodnoty integrálního kriteria kvality regulace, z hlediska odolnosti dosažených strategií vůči chybám pozorování soustavy, odolnosti vůči zpoždění akčního zásahu a odezvy na skokový moment.
Experimenty prováděné v další etapě jsou provedeny pro dokreslení vlastností strategií získaných ve fázi předučení. Je zde testován vliv různých posilovacích funkcí a vliv rozšíření množiny akcí jednak na rychlost předučení, jednak na odolnost strategie vůči náhodné chybě pozorování veličin, odolnost strategie vůči zpoždění akčního zásahu a odolnost strategie vůči skokovému momentu. V této etapě experimentů je také provedeno porovnání QL-regulátoru s referenčním PID regulátorem, jehož parametry byly nastaveny pomocí Ziegler-Nicholsova pravidla.
Po ukončení experimentů s fází předučení jsou provedeny experimenty s fází doučení. Experimenty jsou zaměřeny na vyzkoušení zpřesňování a přizpůsobování již dosažené strategie získané ve fázi předučení s matematickým modelem asynchronního motoru, na změny parametrů reálné soustavy oproti simulačnímu modelu AM.
Aktuálnost problematiky je vysoká. Vyhovuje současnému trendu výzkumu nových metod řízení, které jsou založeny na využití metod UI, zejména učení. Základním rysem učení je rozvinutá schopnost adaptace, tj. schopnost automaticky zlepšovat chování řízené soustavy např. při změně provozních parametrů, apod.
[popis_orig] => Předložená disertační práce je zaměřena na využití metody Q-učení pro řízení asynchronního elektromotoru. Řízení se skládá z fáze předučení a fáze doučení. Během fáze předučení jsou na výpočtovém modelu prováděny pokusy, které jsou zpracovávány prováděním zálohování Q-učení v reálném čase. Výpočtový model může být pouze přibližný.
V předložené práci je provedeno simulační ověření navržené metody na modelu asynchronního elektromotoru. Při řízení jsou měřeny pouze aktuální otáčky, z nichž je vypočtena aktuální regulační odchylka, její rychlost a zrychlení.
Počáteční testy mají za úkol zjistit, jeví-li se jako vhodnější z hlediska úspěšnosti učení stav prostředí definovaný jako 1-D (uvažující pouze regulační odchylku), 2-D (uvažující regulační odchylku a její rychlost) nebo jako 3-D (uvažující regulační odchylku, její rychlost a zrychlení).
Další experimenty se týkají optimalizace počtu intervalů lineárního a nelineárního rastru jednotlivých stavových veličin. Získané strategie řízení jsou posuzovány nejprve z hlediska dosažené hodnoty integrálního kriteria kvality regulace, z hlediska odolnosti dosažených strategií vůči chybám pozorování soustavy, odolnosti vůči zpoždění akčního zásahu a odezvy na skokový moment.
Experimenty prováděné v další etapě jsou provedeny pro dokreslení vlastností strategií získaných ve fázi předučení. Je zde testován vliv různých posilovacích funkcí a vliv rozšíření množiny akcí jednak na rychlost předučení, jednak na odolnost strategie vůči náhodné chybě pozorování veličin, odolnost strategie vůči zpoždění akčního zásahu a odolnost strategie vůči skokovému momentu. V této etapě experimentů je také provedeno porovnání QL-regulátoru s referenčním PID regulátorem, jehož parametry byly nastaveny pomocí Ziegler-Nicholsova pravidla.
Po ukončení experimentů s fází předučení jsou provedeny experimenty s fází doučení. Experimenty jsou zaměřeny na vyzkoušení zpřesňování a přizpůsobování již dosažené strategie získané ve fázi předučení s matematickým modelem asynchronního motoru, na změny parametrů reálné soustavy oproti simulačnímu modelu AM.
Aktuálnost problematiky je vysoká. Vyhovuje současnému trendu výzkumu nových metod řízení, které jsou založeny na využití metod UI, zejména učení. Základním rysem učení je rozvinutá schopnost adaptace, tj. schopnost automaticky zlepšovat chování řízené soustavy např. při změně provozních parametrů, apod.
[klicova_slova] => Q-učení, asynchronní elektromotor, řízení
[klicova_slova_orig] => Q-učení, asynchronní elektromotor, řízení
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 207
[odpovedny_utvar_nazev] => Ústav automatizace a informatiky
[odpovedny_utvar_zkratka] => ÚAI
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => cs
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => MARADA, T.
[pocet_tvurcu] => 1
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1213-4198
[identifikator_popis] => ISSN - Vědecké spisy Vysokého učení technického v Brně
Edice PhD Thesis (CZ)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => MARADA, T. Řízení přechodových stavů asynchronního elektromotoru založené na Q-učení. Vědecké spisy Vysokého učení technického v Brně Edice PhD Thesis, 2004, č. 1, 30 s. ISSN: 1213-4198.
[citace_html] => MARADA, T. Řízení přechodových stavů asynchronního elektromotoru založené na Q-učení. Vědecké spisy Vysokého učení technického v Brně Edice PhD Thesis, 2004, č. 1, 30 s. ISSN: 1213-4198.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45549,
author="Tomáš {Marada}",
title="Řízení přechodových stavů asynchronního elektromotoru založené na Q-učení",
journal="Vědecké spisy Vysokého učení technického v Brně
Edice PhD Thesis",
year="2004",
number="1",
pages="30",
issn="1213-4198"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Control of transition states of asynchronous electromotor based on Q-learning
[popis_en] => Presented PhD thesis is focused on use of Q-learning method on asynchronous electric drive control. The control consists of prelearning and tutorage phase. During prelearning the attempts which are processed by real time Q-learning backup are performed on computational model. Computational model can be approximate only.
Presented thesis show simulation verification of proposed method on asynchronous electric drive mode. Only the actual running speed was used for control; actual control error, its velocity and acceleration are calculated.
Initial tests were performed in order to find what environment state definitions are more advantageous regarding the learning succesibility: 1-D (considers control error only), 2-D (considers control error and it’s velocity) or 3-D (considering control error, its velocity and acceleration).
Further experiments consider optimization of linear and nonlinear grid of particular state variables. Found control policies were evaluated with respect to control quality integral criterion value, robustness of obtained policy against noise, robustness against action delay and step torque responses.
Experiments performed in additional stage are performed to further test properties of policies found during prelearning. Tests include influence of various reinforcement functions and action set expansion on prelearning speed, robustness of obtained policy against noise, robustness against action delay and step torque responses. This stage also covers comparison of Q-learning based controller with referential PID controller, whose parameters were set by Ziegler-Nichols method.
After prelearning stage experiments the tutorage stage experiments were performed. The experiments were focused on improvement and adaptation of already obtained policy found during prelearning stage with mathematical model of asynchronous drive and on changes of real system parameters against simulation model.
The problem area is topical. It fits into current trend of research in new control methods based on artificial intelligence methods, learning particularly. The basic feature of learning is expanded ability of adaptation, meaning the ability to automatically improve the behaviour of controlled system during e.g. change of operational parameters, etc.
[klicova_slova_en] => Q-learning, asynchronous electromotor, control
[vysledek_datum] => 2004-12-20T00:00:00+01:00
)
[7] => Array
(
[vysledek_id] => 45550
[vysledek_druh_id] => ART
[ex_vysledek_id] => 52019
[vysledek_rok] => 2005
[nazev] => Theoretical and practical aspects of mechatronics
[nazev_orig] => Theoretical and practical aspects of mechatronics
[duvernost_udaju_id] => S
[popis] => The facts which led to the origination of mechatronics and biomechatronics are analyzed in the contribution. These branches and additionally biomechanics are determined here from the point of view of the present knowledge level. The classification of biomechatronic products and illustrative examples of this classification are presented. The contribution contains eleven attributes of biomechatronics. The contribution further demonstrates the examples of biomechatronic products: the torque screwdriver for bone tissue, experimental device for spine elements testing and experimental device for testing the abrasion of polyethylene coating of total endoprothesis
[popis_orig] => The facts which led to the origination of mechatronics and biomechatronics are analyzed in the contribution. These branches and additionally biomechanics are determined here from the point of view of the present knowledge level. The classification of biomechatronic products and illustrative examples of this classification are presented. The contribution contains eleven attributes of biomechatronics. The contribution further demonstrates the examples of biomechatronic products: the torque screwdriver for bone tissue, experimental device for spine elements testing and experimental device for testing the abrasion of polyethylene coating of total endoprothesis
[klicova_slova] => mechatronics, biomechatronics, attributes of biomechatronics, mechatronic approach, biomechatronic products
[klicova_slova_orig] => mechatronics, biomechatronics, attributes of biomechatronics, mechatronic approach, biomechatronic products
[url] =>
[oecd_obor_id] => 20204
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Ústav mechaniky těles, mechatroniky a biomechaniky
[odpovedny_utvar_zkratka] => ÚMTMB
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => JANÍČEK, P.; BŘEZINA, T.; FLORIAN, Z.; AXMAN, P.
[pocet_tvurcu] => 4
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 0033-2089
[identifikator_popis] => ISSN - Elektronika (PL)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => JANÍČEK, P.; BŘEZINA, T.; FLORIAN, Z.; AXMAN, P. Theoretical and practical aspects of mechatronics. Elektronika, 2005, vol. 2005, no. 8, 5 p. ISSN: 0033-2089.
[citace_html] => JANÍČEK, P.; BŘEZINA, T.; FLORIAN, Z.; AXMAN, P. Theoretical and practical aspects of mechatronics. Elektronika, 2005, vol. 2005, no. 8, 5 p. ISSN: 0033-2089.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45550,
author="Přemysl {Janíček} and Tomáš {Březina} and Zdeněk {Florian} and Petr {Axman}",
title="Theoretical and practical aspects of mechatronics",
journal="Elektronika",
year="2005",
volume="2005",
number="8",
pages="5",
issn="0033-2089"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20204
[oecd_tree_podobor_nazev] => Robotics and automatic control
[poznamka_metriky] =>
[nazev_en] => Theoretical and practical aspects of mechatronics
[popis_en] => The facts which led to the origination of mechatronics and biomechatronics are analyzed in the contribution. These branches and additionally biomechanics are determined here from the point of view of the present knowledge level. The classification of biomechatronic products and illustrative examples of this classification are presented. The contribution contains eleven attributes of biomechatronics. The contribution further demonstrates the examples of biomechatronic products: the torque screwdriver for bone tissue, experimental device for spine elements testing and experimental device for testing the abrasion of polyethylene coating of total endoprothesis
[klicova_slova_en] => mechatronics, biomechatronics, attributes of biomechatronics, mechatronic approach, biomechatronic products
[vysledek_datum] => 2005-08-12T00:00:00+02:00
)
[8] => Array
(
[vysledek_id] => 45562
[vysledek_druh_id] => MISC
[ex_vysledek_id] => 52058
[vysledek_rok] => 2005
[nazev] => Kulaté výročí s desátým Inventorem.
[nazev_orig] => Kulaté výročí s desátým Inventorem.
[duvernost_udaju_id] => S
[popis] => Popis desáté verze strojírenského parametrického modeláře.
[popis_orig] => Popis desáté verze strojírenského parametrického modeláře.
[klicova_slova] => Autodesk Inventor 10
[klicova_slova_orig] => Autodesk Inventor 10
[url] =>
[oecd_obor_id] => 20206
[odpovedny_utvar_id] => 168
[odpovedny_utvar_nazev] => Ústav konstruování
[odpovedny_utvar_zkratka] => ÚK
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => cs
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => PALOUŠEK, D.; ŠPAČEK, J.
[pocet_tvurcu] => 2
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Ostatní
[druh_nazev] => Různé
[druh_popis] => Různé
[stav] => Schválený
[vysledek_kategorie_id] => OS
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1212-4389
[identifikator_popis] => ISSN - Computer Design (CZ)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => PALOUŠEK, D.; ŠPAČEK, J. Kulaté výročí s desátým Inventorem. Computer Design. Computer Press, 2005. č. 2, s. 22-26. ISSN: 1212-4389.
[citace_html] => PALOUŠEK, D.; ŠPAČEK, J. Kulaté výročí s desátým Inventorem. Computer Design. Computer Press, 2005. č. 2, s. 22-26. ISSN: 1212-4389.
[citace_rtf] =>
[citace_bibtex] => @misc{BUT45562,
author="David {Paloušek} and Jiří {Špaček}",
title="Kulaté výročí s desátým Inventorem.",
year="2005",
journal="Computer Design",
volume="11",
number="2",
pages="22--26",
publisher="Computer Press",
issn="1212-4389",
note="Other unclassified results"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] => 20000
[oecd_tree_oblast_nazev] => 2. Engineering and Technology
[oecd_tree_obor_id] => 20200
[oecd_tree_obor_nazev] => 2.2 Electrical engineering, Electronic engineering, Information engineering
[oecd_tree_podobor_id] => 20206
[oecd_tree_podobor_nazev] => Computer hardware and architecture
[poznamka_metriky] =>
[nazev_en] => 10th round jubilee of Autodesk Inventor
[popis_en] => Feature description of CAD modeler Autodesk Inventor 10.
[klicova_slova_en] => Autodesk Inventor 10
[vysledek_datum] => 2005-06-01T00:00:00+02:00
)
[9] => Array
(
[vysledek_id] => 45575
[vysledek_druh_id] => ART
[ex_vysledek_id] => 54150
[vysledek_rok] => 2005
[nazev] => Význam kybernetiky pro současnou informační společnost
[nazev_orig] => Význam kybernetiky pro současnou informační společnost
[duvernost_udaju_id] => S
[popis] => Článek diskutuje význam kybernetiky pro současnou informační společnost v souvislosti s vydáním publikace N.Wienera Kybernetika a společnost
[popis_orig] => Článek diskutuje význam kybernetiky pro současnou informační společnost v souvislosti s vydáním publikace N.Wienera Kybernetika a společnost
[klicova_slova] =>
[klicova_slova_orig] =>
[url] =>
[oecd_obor_id] =>
[odpovedny_utvar_id] => 207
[odpovedny_utvar_nazev] => Ústav automatizace a informatiky
[odpovedny_utvar_zkratka] => ÚAI
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => cs
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => LACKO, B.
[pocet_tvurcu] => 1
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] =>
[identifikator_popis] =>
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => LACKO, B. Význam kybernetiky pro současnou informační společnost. 2005, roč. 48, č. 10, 2 s. ISSN: 005-125X.
[citace_html] => LACKO, B. Význam kybernetiky pro současnou informační společnost. 2005, roč. 48, č. 10, 2 s. ISSN: 005-125X.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45575,
author="Branislav {Lacko}",
title="Význam kybernetiky pro současnou informační společnost",
year="2005",
volume="48",
number="10",
pages="2"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] =>
[oecd_tree_oblast_nazev] =>
[oecd_tree_obor_id] =>
[oecd_tree_obor_nazev] =>
[oecd_tree_podobor_id] =>
[oecd_tree_podobor_nazev] =>
[poznamka_metriky] =>
[nazev_en] => The importance od prof.N.Wiener for cybernetics today.
[popis_en] => The importance and contribution of cybernetics for the contemporary information society is discused in the article. The publication "Cybernetics and Society" by N.Wiener is mentioned
[klicova_slova_en] => cybernetics, society
[vysledek_datum] => 2005-09-16T00:00:00+02:00
)
[10] => Array
(
[vysledek_id] => 45576
[vysledek_druh_id] => ART
[ex_vysledek_id] => 54152
[vysledek_rok] => 2005
[nazev] => The importance and Contribution of Cybernetics for the Contemporary Information Society
[nazev_orig] => The importance and Contribution of Cybernetics for the Contemporary Information Society
[duvernost_udaju_id] => S
[popis] => The importance and contribution of cybernetics for contemporary information society is presented in the article. The book "Cybernetics and Society" by N.Wiener is mentioned (reflection on the anniversary of founder of cybernetics).
[popis_orig] => The importance and contribution of cybernetics for contemporary information society is presented in the article. The book "Cybernetics and Society" by N.Wiener is mentioned (reflection on the anniversary of founder of cybernetics).
[klicova_slova] => cybernetics, society
[klicova_slova_orig] => cybernetics, society
[url] =>
[oecd_obor_id] =>
[odpovedny_utvar_id] => 207
[odpovedny_utvar_nazev] => Ústav automatizace a informatiky
[odpovedny_utvar_zkratka] => ÚAI
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2016-04-15
[vykazovat_riv] => 0
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => LACKO, B.
[pocet_tvurcu] => 1
[tvurci_ids] =>
[poznamka] =>
[typ_nazev] =>
[kod_doi] =>
[kod_dspace] =>
[rok_vytvoreni] =>
[pocet_zaznamu] =>
[zverejneno] => 1
[prvni_autor] =>
[korespondencni_autor] =>
[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek recenzovaný mimo WoS a Scopus
[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
[vysledek_stav_id] => 3
[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 0023-5954
[identifikator_popis] => ISSN - KYBERNETIKA (CZ)
[riv_dodavka_id] =>
[riv_dodavka_oznaceni] =>
[riv_dodavka_rok] =>
[diagnostika_pocet] => 0
[diagnostika_pocet_chyba] => 0
[diagnostika_pocet_upozorneni] => 0
[diagnostika_pocet_informace] => 0
[citace_text] => LACKO, B. The importance and Contribution of Cybernetics for the Contemporary Information Society. KYBERNETIKA, 2005, vol. 41, no. 4, 2 p. ISSN: 0023-5954.
[citace_html] => LACKO, B. The importance and Contribution of Cybernetics for the Contemporary Information Society. KYBERNETIKA, 2005, vol. 41, no. 4, 2 p. ISSN: 0023-5954.
[citace_rtf] =>
[citace_bibtex] => @article{BUT45576,
author="Branislav {Lacko}",
title="The importance and Contribution of Cybernetics for the Contemporary Information Society",
journal="KYBERNETIKA",
year="2005",
volume="41",
number="4",
pages="2",
issn="0023-5954"
}
[vykazano] =>
[vykazano_aspon_jednou] =>
[identifikacni_kod] =>
[neautorsky_vysledek] => 0
[if] =>
[if_q] =>
[if_m17_q] =>
[if_m25_q] =>
[if_d] =>
[if_m17_d] =>
[if_m25_d] =>
[if_percentil] =>
[if_m17_percentil] =>
[if_m25_percentil] =>
[ais] =>
[ais_m17_q] =>
[ais_m25_q] =>
[ais_m17_d] =>
[ais_m25_d] =>
[ais_m17_percentil] =>
[ais_m25_percentil] =>
[jci] =>
[jci_q] =>
[jci_percentil] =>
[ef] =>
[scopus_sjr] =>
[scopus_sjr_q] =>
[scopus_sjr_d] =>
[nature_index_group] =>
[incites_times_cited] =>
[incites_open_access] =>
[incites_jnci] =>
[incites_is_int_collab] =>
[incites_is_industry_collab] =>
[incites_esi_hot_paper] =>
[incites_esi_highly_cited_paper] =>
[incites_avg_cnci] =>
[incites_avg_percentile] =>
[scival_citations_count] =>
[scival_fwci] =>
[core_rank] => NA
[oecd_tree_oblast_id] =>
[oecd_tree_oblast_nazev] =>
[oecd_tree_obor_id] =>
[oecd_tree_obor_nazev] =>
[oecd_tree_podobor_id] =>
[oecd_tree_podobor_nazev] =>
[poznamka_metriky] =>
[nazev_en] => The importance and Contribution of Cybernetics for the Contemporary Information Society
[popis_en] => The importance and contribution of cybernetics for contemporary information society is presented in the article. The book "Cybernetics and Society" by N.Wiener is mentioned (reflection on the anniversary of founder of cybernetics).
[klicova_slova_en] => cybernetics, society
[vysledek_datum] => 2005-09-01T00:00:00+02:00
)
)
)
Array
(
[total] => 2086
[page] => 76
[count] => 11
[n_pages] => 140
[pagelen] => 15
[odkaz] => typVysledku=&rok=&ftext=&btnSubmit=1
[base_detail] => /veda/publikace/detail/
[base_page] => /veda/publikace
[vysledek] => Array
(
[0] => Array
(
[quotations] => MARADA, T., BŘEZINA, T.
[title] => Q-learned Controller Performance of Asynchronous electromotor
[typ] => PV
[year] => 2004
[id_vav] => 45412
)
[1] => Array
(
[quotations] => KREJSA, J., VĚCHET, S., PULCHART, J.
[title] => Global versus local aproximation in inverse problem
[typ] => PV
[year] => 2004
[id_vav] => 45414
)
[2] => Array
(
[quotations] => BŘEZINA, T., TUREK, M.
[title] => Asynchronous electromotor controller tuned hrough CARLA method
[typ] => PV
[year] => 2004
[id_vav] => 45422
)
[3] => Array
(
[quotations] => BŘEZINA, T., KREJSA, J.
[title] => Efficient Q-learning modification aplied on active magnetic bearing control
[typ] => PV
[year] => 2004
[id_vav] => 45424
)
[4] => Array
(
[quotations] => VĚCHET, S.
[title] => Návrh robustního řízení modifikovaným Q-učením
[typ] => PV
[year] => 2005
[id_vav] => 45504
)
[5] => Array
(
[quotations] => MARADA, T., HOUŠKA, P. BŘEZINA, T.
[title] => Design of asynchronous motor controller through Q-learning
[typ] => PV
[year] => 2005
[id_vav] => 45543
)
[6] => Array
(
[quotations] => MARADA, T.
[title] => Řízení přechodových stavů asynchronního elektromotoru založené na Q-učení
[typ] => PV
[year] => 2004
[id_vav] => 45549
)
[7] => Array
(
[quotations] => JANÍČEK, P.; BŘEZINA, T.; FLORIAN, Z.; AXMAN, P.
[title] => Theoretical and practical aspects of mechatronics
[typ] => PV
[year] => 2005
[id_vav] => 45550
)
[8] => Array
(
[quotations] => PALOUŠEK, D.; ŠPAČEK, J.
[title] => Kulaté výročí s desátým Inventorem.
[typ] => OS
[year] => 2005
[id_vav] => 45562
)
[9] => Array
(
[quotations] => LACKO, B.
[title] => Význam kybernetiky pro současnou informační společnost
[typ] => PV
[year] => 2005
[id_vav] => 45575
)
[10] => Array
(
[quotations] => LACKO, B.
[title] => The importance and Contribution of Cybernetics for the Contemporary Information Society
[typ] => PV
[year] => 2005
[id_vav] => 45576
)
)
)