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title="Aranea - measuring software
",
year="2007",
url="http://www.umt.fme.vutbr.cz/~ruja/aranea/",
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url="http://www.umt.fme.vutbr.cz/cz/ustav/produkty/",
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[citace_text] => BŘEZINA, L.; BŘEZINA, T. UNCERTAIN MODELING OF MECHATRONIC SYSTEMS. In Engineering mechanics 2011. 1. Prague: Institute of Thermomechanics - Academy of Sciences of the Czech Republic - Prague, 2011. p. 67-70. ISBN: 978-80-87012-33-8.
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title="UNCERTAIN MODELING OF MECHATRONIC SYSTEMS",
booktitle="Engineering mechanics 2011",
year="2011",
series="1",
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pages="67--70",
publisher="Institute of Thermomechanics - Academy of Sciences of the Czech Republic - Prague",
address="Prague",
isbn="978-80-87012-33-8"
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[poznamka_metriky] =>
[nazev_en] => UNCERTAIN MODELING OF MECHATRONIC SYSTEMS
[popis_en] => The paper proposes an approach to modeling of systems with a parametric uncertainty. The approach is based on use of upper linear fractional transformation which is commonly used for the modeling of the uncertain systems. The main difference between the classical methods and the proposed one is that the proposed method describes the uncertainty as a difference between values of corresponding matrices elements of nominal and perturbed state-space model of the described system. This results into a general analytic description of the uncertain model which may be easily used for building of an uncertain model based on a nominal and perturbed state-space model of any system. The obtained uncertain model respects the form for a robust controller design. The approach is presented on simple mass-damper-spring system.
[klicova_slova_en] => Parametric uncertainty, uncertain model, mass-damper-spring
[vysledek_datum] => 2011-05-09T00:00:00+02:00
)
[8] => Array
(
[vysledek_id] => 92422
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[ex_vysledek_id] => 98723
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[nazev] => H-infinity controller design for a DC motor model with uncertain parameters
[nazev_orig] => H-infinity controller design for a DC motor model with uncertain parameters
[duvernost_udaju_id] => S
[popis] => The proposed article deals with uncertain description of permanent-magnet DC motor Maxon RE 35 via parametric uncertainty and H-infinity controller design. There was analyzed influence of uncertainties of the particular motor parameters on the model behavior. Consequently there was designed an H-infinity controller via Matlab functions. The behavior of the obtained controller was analyzed on the step responses and course tracking of the closed loop with the nominal system and the system with perturbed parameters.
[popis_orig] => The proposed article deals with uncertain description of permanent-magnet DC motor Maxon RE 35 via parametric uncertainty and H-infinity controller design. There was analyzed influence of uncertainties of the particular motor parameters on the model behavior. Consequently there was designed an H-infinity controller via Matlab functions. The behavior of the obtained controller was analyzed on the step responses and course tracking of the closed loop with the nominal system and the system with perturbed parameters.
[klicova_slova] => DC motor, parametric uncertainty, H-infinity
[klicova_slova_orig] => DC motor, parametric uncertainty, H-infinity
[url] =>
[oecd_obor_id] => 20301
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Institute of Solid Mechanics, Mechatronics and Biomechanics
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[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FME
[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2013-05-02
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[slozka_id] =>
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[vycet_osob] => BŘEZINA, L.; BŘEZINA, T.
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[kategorie_nazev] => Publication results
[druh_nazev] => Peer-reviewed article not indexed in WoS or Scopus
[druh_popis] => Other original article or review in a peer-reviewed scientific periodical not included in WoS or Scopus
[stav] => Approved
[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 1802-1484
[identifikator_popis] => ISSN - Engineering Mechanics (CZ)
[riv_dodavka_id] => 204
[riv_dodavka_oznaceni] => RIV13-MSM-26210___
[riv_dodavka_rok] => 2013
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[citace_text] => BŘEZINA, L.; BŘEZINA, T. H-infinity controller design for a DC motor model with uncertain parameters. Engineering Mechanics, 2012, vol. 18, no. 5/6, p. 271-279. ISSN: 1802-1484.
[citace_html] => BŘEZINA, L.; BŘEZINA, T. H-infinity controller design for a DC motor model with uncertain parameters. Engineering Mechanics, 2012, vol. 18, no. 5/6, p. 271-279. ISSN: 1802-1484.
[citace_rtf] =>
[citace_bibtex] => @article{BUT92422,
author="Lukáš {Březina} and Tomáš {Březina}",
title="H-infinity controller design for a DC motor model with uncertain parameters",
journal="Engineering Mechanics",
year="2012",
volume="18",
number="5/6",
pages="271--279",
issn="1802-1484"
}
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[oecd_tree_podobor_id] => 20301
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[poznamka_metriky] =>
[nazev_en] => H-infinity controller design for a DC motor model with uncertain parameters
[popis_en] => The proposed article deals with uncertain description of permanent-magnet DC motor Maxon RE 35 via parametric uncertainty and H-infinity controller design. There was analyzed influence of uncertainties of the particular motor parameters on the model behavior. Consequently there was designed an H-infinity controller via Matlab functions. The behavior of the obtained controller was analyzed on the step responses and course tracking of the closed loop with the nominal system and the system with perturbed parameters.
[klicova_slova_en] => DC motor, parametric uncertainty, H-infinity
[vysledek_datum] => 2012-04-16T00:00:00+02:00
)
[9] => Array
(
[vysledek_id] => 95285
[vysledek_druh_id] => ART
[ex_vysledek_id] => 100672
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[nazev] => Energy Harvesting from Mechanical Shocks Using A Sensitive Vibration Energy Harvester
[nazev_orig] => Energy Harvesting from Mechanical Shocks Using A Sensitive Vibration Energy Harvester
[duvernost_udaju_id] => S
[popis] => This paper deals with a unique principle of energy harvesting technologies. An energy harvesting device generates electric energy from its surroundings using some kind of energy conversion method. Therefore, the considered energy harvesting device does not consume any fuel or substance. The presented energy harvesting system is used forenergy harvesting of electrical energy from mechanical shocks. The presented energy harvesting system uses a very sensitive vibration energy harvester, which was developed for an aeronautic application at Brno University of Technology. This energy harvesting system is a complex mechatronic device, which consists of a precise mechanical part, an electromagnetic converter, power electronics (power management) and a load (e.g., wireless sensor). The very sensitive vibration energy harvester is capable of usingthe mechanical energy of mechanical shocks and it can harvest useful energy. This energy harvesting system is used with a wireless temperature sensor and measured results are presented in this paper.
[popis_orig] => This paper deals with a unique principle of energy harvesting technologies. An energy harvesting device generates electric energy from its surroundings using some kind of energy conversion method. Therefore, the considered energy harvesting device does not consume any fuel or substance. The presented energy harvesting system is used forenergy harvesting of electrical energy from mechanical shocks. The presented energy harvesting system uses a very sensitive vibration energy harvester, which was developed for an aeronautic application at Brno University of Technology. This energy harvesting system is a complex mechatronic device, which consists of a precise mechanical part, an electromagnetic converter, power electronics (power management) and a load (e.g., wireless sensor). The very sensitive vibration energy harvester is capable of usingthe mechanical energy of mechanical shocks and it can harvest useful energy. This energy harvesting system is used with a wireless temperature sensor and measured results are presented in this paper.
[klicova_slova] => Energy Harvesting, Vibration, Mechanical Shock, Wireless Sensing
[klicova_slova_orig] => Energy Harvesting, Vibration, Mechanical Shock, Wireless Sensing
[url] =>
[oecd_obor_id] => 20301
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[nadrazena_soucast_id] => 4
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[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => en
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[schvaleno] => 2013-04-30
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[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => HADAŠ, Z.; VETIŠKA, V.; SINGULE, V.; ANDRŠ, O.; KOVÁŘ, J.; VETIŠKA, J.
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[stav] => Approved
[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 1729-8806
[identifikator_popis] => ISSN - International Journal of Advanced Robotic Systems (AT)
[riv_dodavka_id] => 220
[riv_dodavka_oznaceni] => RIV13-TA0-26210___
[riv_dodavka_rok] => 2013
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[citace_text] => HADAŠ, Z.; VETIŠKA, V.; SINGULE, V.; ANDRŠ, O.; KOVÁŘ, J.; VETIŠKA, J. Energy Harvesting from Mechanical Shocks Using A Sensitive Vibration Energy Harvester. International Journal of Advanced Robotic Systems, 2012, vol. 2012, no. 9, p. 1-7. ISSN: 1729-8806.
[citace_html] => HADAŠ, Z.; VETIŠKA, V.; SINGULE, V.; ANDRŠ, O.; KOVÁŘ, J.; VETIŠKA, J. Energy Harvesting from Mechanical Shocks Using A Sensitive Vibration Energy Harvester. International Journal of Advanced Robotic Systems, 2012, vol. 2012, no. 9, p. 1-7. ISSN: 1729-8806.
[citace_rtf] =>
[citace_bibtex] => @article{BUT95285,
author="Zdeněk {Hadaš} and Vojtěch {Vetiška} and Vladislav {Singule} and Ondřej {Andrš} and Jiří {Kovář} and Jan {Vetiška}",
title="Energy Harvesting from Mechanical Shocks Using A Sensitive Vibration Energy Harvester",
journal="International Journal of Advanced Robotic Systems",
year="2012",
volume="2012",
number="9",
pages="1--7",
issn="1729-8806"
}
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[nazev_en] => Energy Harvesting from Mechanical Shocks Using A Sensitive Vibration Energy Harvester
[popis_en] => This paper deals with a unique principle of energy harvesting technologies. An energy harvesting device generates electric energy from its surroundings using some kind of energy conversion method. Therefore, the considered energy harvesting device does not consume any fuel or substance. The presented energy harvesting system is used forenergy harvesting of electrical energy from mechanical shocks. The presented energy harvesting system uses a very sensitive vibration energy harvester, which was developed for an aeronautic application at Brno University of Technology. This energy harvesting system is a complex mechatronic device, which consists of a precise mechanical part, an electromagnetic converter, power electronics (power management) and a load (e.g., wireless sensor). The very sensitive vibration energy harvester is capable of usingthe mechanical energy of mechanical shocks and it can harvest useful energy. This energy harvesting system is used with a wireless temperature sensor and measured results are presented in this paper.
[klicova_slova_en] => Energy Harvesting, Vibration, Mechanical Shock, Wireless Sensing
[vysledek_datum] => 2012-11-30T00:00:00+01:00
)
[10] => Array
(
[vysledek_id] => 98286
[vysledek_druh_id] => CONPA
[ex_vysledek_id] => 102815
[vysledek_rok] => 2011
[nazev] => MOBILE ROBOT MOTION PLANNER VIA NEURAL NETWORK
[nazev_orig] => MOBILE ROBOT MOTION PLANNER VIA NEURAL NETWORK
[duvernost_udaju_id] => S
[popis] => Motion planning is essential for mobile robot successful navigation. There are many algorithms for motion planning under various constraints. However, in some cases the human can still do a better job, therefore it would be advantageous to create a planner based on data gathered from the robot simulation when humans do the planning. The paper presents the method of using the neural network to transfer the previously gained knowledge into the machine learning based planner. In particular the neural network task is to mimic the planner based on finite state machine. The tests proved that neural network can successfully learn to navigate in constrained environment.
[popis_orig] => Motion planning is essential for mobile robot successful navigation. There are many algorithms for motion planning under various constraints. However, in some cases the human can still do a better job, therefore it would be advantageous to create a planner based on data gathered from the robot simulation when humans do the planning. The paper presents the method of using the neural network to transfer the previously gained knowledge into the machine learning based planner. In particular the neural network task is to mimic the planner based on finite state machine. The tests proved that neural network can successfully learn to navigate in constrained environment.
[klicova_slova] => Mobile robot; motion planning; neural networks
[klicova_slova_orig] => Mobile robot; motion planning; neural networks
[url] =>
[oecd_obor_id] => 20301
[odpovedny_utvar_id] => 157
[odpovedny_utvar_nazev] => Institute of Solid Mechanics, Mechatronics and Biomechanics
[odpovedny_utvar_zkratka] => ISMMB
[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FME
[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2013-05-02
[vykazovat_riv] => 1
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[slozka_id] =>
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[druh_popis] => Paper in proceedings (conference paper)
[stav] => Approved
[vysledek_kategorie_id] => PV
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[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] => ISBN 978-80-87012-33-8
[identifikator_popis] => ISBN - Engineering Mechanics 2011, 17th International conference may 9-12, 2011, Svratka, Czech republic
[riv_dodavka_id] => 204
[riv_dodavka_oznaceni] => RIV13-MSM-26210___
[riv_dodavka_rok] => 2013
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[citace_text] => KREJSA, J.; VĚCHET, S. MOBILE ROBOT MOTION PLANNER VIA NEURAL NETWORK. In Engineering Mechanics 2011, 17th International conference may 9-12, 2011, Svratka, Czech republic. 2011. Prague: Institute of Thermomechanics, Academy of Sciences of the Czech Republic, 2011. p. 227-230. ISBN: 978-80-87012-33-8.
[citace_html] => KREJSA, J.; VĚCHET, S. MOBILE ROBOT MOTION PLANNER VIA NEURAL NETWORK. In Engineering Mechanics 2011, 17th International conference may 9-12, 2011, Svratka, Czech republic. 2011. Prague: Institute of Thermomechanics, Academy of Sciences of the Czech Republic, 2011. p. 227-230. ISBN: 978-80-87012-33-8.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT98286,
author="Jiří {Krejsa} and Stanislav {Věchet}",
title="MOBILE ROBOT MOTION PLANNER VIA NEURAL NETWORK",
booktitle="Engineering Mechanics 2011, 17th International conference may 9-12, 2011, Svratka, Czech republic",
year="2011",
series="2011",
number="1",
pages="227--230",
publisher="Institute of Thermomechanics, Academy of Sciences of the Czech Republic",
address="Prague",
isbn="978-80-87012-33-8"
}
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[poznamka_metriky] =>
[nazev_en] => MOBILE ROBOT MOTION PLANNER VIA NEURAL NETWORK
[popis_en] => Motion planning is essential for mobile robot successful navigation. There are many algorithms for motion planning under various constraints. However, in some cases the human can still do a better job, therefore it would be advantageous to create a planner based on data gathered from the robot simulation when humans do the planning. The paper presents the method of using the neural network to transfer the previously gained knowledge into the machine learning based planner. In particular the neural network task is to mimic the planner based on finite state machine. The tests proved that neural network can successfully learn to navigate in constrained environment.
[klicova_slova_en] => Mobile robot; motion planning; neural networks
[vysledek_datum] => 2011-05-09T00:00:00+02:00
)
[11] => Array
(
[vysledek_id] => 98287
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[nazev] => CONCURRENT MAPPING AND LOCALIZATION BASED ON POTENTIAL FIELDS
[nazev_orig] => CONCURRENT MAPPING AND LOCALIZATION BASED ON POTENTIAL FIELDS
[duvernost_udaju_id] => S
[popis] => Presented paper deals with Concurrent Mapping and Localization as a method to build the local map for the autonomous mobile robot. Building accurate local map is necessary for the successful navigation through the crowded environment densely populated with dynamic obstacles. The occupancy grid mapping algorithm was used due to the high uncertainty in the measurements of dynamic obstacles. As the occupancy grid algorithm is of probabilistic nature the implementation is straightforward and is also capable to generate the results in real-time.
[popis_orig] => Presented paper deals with Concurrent Mapping and Localization as a method to build the local map for the autonomous mobile robot. Building accurate local map is necessary for the successful navigation through the crowded environment densely populated with dynamic obstacles. The occupancy grid mapping algorithm was used due to the high uncertainty in the measurements of dynamic obstacles. As the occupancy grid algorithm is of probabilistic nature the implementation is straightforward and is also capable to generate the results in real-time.
[klicova_slova] => Occupancy grid mapping; binary Bayes filter
[klicova_slova_orig] => Occupancy grid mapping; binary Bayes filter
[url] =>
[oecd_obor_id] => 20301
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[nadrazena_soucast_id] => 4
[nadrazena_soucast_zkratka] => FME
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[originalni_jazyk] => en
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