bibtype C - Conference Paper (international conference)
ARLID 0543771
utime 20240103230005.0
mtime 20210714235959.9
DOI 10.5220/0010557705740582
title (primary) (eng) Output-feedback MPC for Robotic Systems under Bounded Noise
specification
page_count 9 s.
media_type E
serial
ARLID cav_un_epca*0543770
ISBN 978-989-758-522-7
ISSN 2184-2809
title Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics
page_num 574-582
publisher
place Setúbal
name Scitepress
year 2021
editor
name1 Gusikhin
name2 O.
editor
name1 Nijmeijer
name2 H.
editor
name1 Madani
name2 K.
keyword model predictive control
keyword output-feedback control
keyword robot manipulator
keyword state estimation
keyword Bayes methods
keyword bounded uncertainty
author (primary)
ARLID cav_un_auth*0382598
name1 Kuklišová Pavelková
name2 Lenka
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
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101064
name1 Belda
name2 Květoslav
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2021/AS/kuklisova-0543771.pdf
cas_special
abstract (eng) The paper presents an output-feedback model predictive control applied to the motion control of a dynamic model of a parallel kinematic machine. The controlled system is described by a stochastic linear discrete-time model with bounded disturbances. An approximate uniform Bayesian filter provides set state estimates. The choice of the specific point estimate from this set is a part of the optimization. The cost function includes penalties on the tracking error and the actuation effort respecting increments. Illustrative examples show the effectiveness of the proposed approach and provide a comparison with previous results.
action
ARLID cav_un_auth*0411344
name International Conference on Informatics in Control, Automation and Robotics 2021 /18./
dates 20210706
mrcbC20-s 20210708
place Setúbal (online)
country PT
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2022
num_of_auth 2
mrcbC52 4 A sml 4as 20231122145824.2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0321662
confidential S
contract
name CONSENT TO PUBLISH and COPYRIGHT TRANSFER
date 20210503
arlyear 2021
mrcbTft \nSoubory v repozitáři: kuklisova-0543771-copyright-ICINCO21.pdf
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0543770 Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics Scitepress 2021 Setúbal 574 582 978-989-758-522-7 2184-2809
mrcbU67 Gusikhin O. 340
mrcbU67 Nijmeijer H. 340
mrcbU67 Madani K. 340