bibtype	C - Conference Paper (international conference)
ARLID	0506011
utime	20241106135735.9
mtime	20190701235959.9
SCOPUS	85071604481
WOS	000490488301065
DOI	10.23919/ECC.2019.8795702
title (primary) (eng)	Predictive and Anisotropic Control Design for Robot Motion under Stochastic Disturbances
specification	page_count 6 s. media_type C
serial	ARLID cav_un_epca*0506010 ISBN 978-3-907144-01-5 title Proceedings of the 17th European Control Conference page_num 1374-1379 publisher place Naples name European Union Control Association (EUCA) year 2019
keyword	Predictive Control
keyword	Anisotropic Control
keyword	Motion Control
keyword	Stochastic Disturbances
author (primary)	ARLID cav_un_auth*0101064 share 50 name1 Belda name2 Květoslav institution UTIA-B full_dept (cz) Adaptivní systémy full_dept (eng) Department of Adaptive Systems department (cz) AS department (eng) AS full_dept Department of Adaptive Systems fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0376533 share 50 name1 Tchaikovsky name2 M. country RU
source	url http://library.utia.cas.cz/separaty/2019/AS/belda-0506011.pdf
cas_special	project ARLID cav_un_auth*0376535 project_id TN01000024 agency GA TA ČR country CZ abstract (eng) The paper deals with the design and comparison of model-based predictive control and anisotropic control formulated for the motion control of industrial robots-manipulators. Stochastic disturbances, usually occurring and entering a control process, are taken into account in the design to attenuate their undesirable influences. The explanation refers a specific online control parameter tuning for predictive control and introduces a single-pass offline optimization for anisotropic control. The aim is to point out features of the proposed advanced approaches in transition situations. action ARLID cav_un_auth*0376534 name European Control Conference 2019 /17./ dates 20190625 mrcbC20-s 20190628 place Naples country IT RIV BC FORD0 20000 FORD1 20200 FORD2 20204 reportyear 2020 num_of_auth 2 mrcbC52 4 A sml 4as 20241106135735.9 presentation_type PR inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0297321 cooperation ARLID cav_un_auth*0376536 name The Institute of Control Sciences V.A. Trapeznikov, Russian Academy of Sciences country RU confidential S contract name Copyright Form date 20190308 note Copyright Form mrcbC86 n.a. Proceedings Paper Automation Control Systems arlyear 2019 mrcbTft \nSoubory v repozitáři: belda-0506011-CopyrightForm.pdf mrcbU14 85071604481 SCOPUS mrcbU24 PUBMED mrcbU34 000490488301065 WOS mrcbU63 cav_un_epca*0506010 Proceedings of the 17th European Control Conference 978-3-907144-01-5 1374 1379 Naples European Union Control Association (EUCA) 2019