bibtype C - Conference Paper (international conference)
ARLID 0491940
utime 20240103220311.7
mtime 20180803235959.9
SCOPUS 85071459456
DOI 10.5220/0006833500710080
title (primary) (eng) Nonlinear Design of Model Predictive Control Adapted for Industrial Articulated Robots
specification
page_count 10 s.
media_type C
serial
ARLID cav_un_epca*0491939
ISBN 978-989-758-321-6
ISSN 2184-2809
title ICINCO 2018 : Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics
page_num 71-80
publisher
place Setubal
name INSTICC, SCITEPRESS.
year 2018
editor
name1 Madani
name2 Kurosh
editor
name1 Gusikhin
name2 Oleg
keyword Discrete Model Predictive Control
keyword Nonlinear Design
keyword Lagrange Equations
keyword Articulated Robots
author (primary)
ARLID cav_un_auth*0101064
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.
source
url http://library.utia.cas.cz/separaty/2018/AS/belda-0491940.pdf
cas_special
abstract (eng) This paper introduces a specific nonlinear design of the discrete model predictive control based on the features of linear methods used for the numerical solution of ordinary differential equations. The design is intended for motion control of robotic or mechatronic systems that are usually described by nonlinear differential equations up to the second order. For the control design, the explicit linear multi-step methods are considered. The proposed way enables the design to apply nonlinear model to the construction of equations of predictions used in predictive control. An example of behavior of proposed versus linear predictive control is demonstrated by a comparative simulation with nonlinear mathematical model of six-axis articulated robot.
action
ARLID cav_un_auth*0362835
name International Conference on Informatics in Control, Automation and Robotics
dates 20180728
mrcbC20-s 20180731
place Porto
country PT
RIV BC
FORD0 20000
FORD1 20300
FORD2 20301
reportyear 2019
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0285674
confidential S
arlyear 2018
mrcbU14 85071459456 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0491939 ICINCO 2018 : Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics INSTICC, SCITEPRESS. 2018 Setubal 71 80 978-989-758-321-6 2184-2809
mrcbU67 340 Madani Kurosh
mrcbU67 340 Gusikhin Oleg