bibtype C - Conference Paper (international conference)
ARLID 0433945
utime 20240111140853.0
mtime 20141030235959.9
SCOPUS 84916931171
WOS 000400962700154
DOI 10.1109/MED.2014.6961492
title (primary) (eng) Polynomial Regression Aided Identification Method for a Class of Mechanical Systems
specification
page_count 6 s.
media_type C
serial
ARLID cav_un_epca*0433944
ISBN 978-1-4799-5899-3
title Proceedings of the 2014 22nd Mediterranean Conference on Control and Automation (MED)
page_num 924-929
publisher
place Palermo
name IEEE
year 2014
keyword Identification
keyword Walking robots
keyword Regression
author (primary)
ARLID cav_un_auth*0279330
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
full_dept Department of Control Theory
name1 Dolinský
name2 Kamil
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101074
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
full_dept Department of Control Theory
name1 Čelikovský
name2 Sergej
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type textový dokument
source_size 323 kB
cas_special
project
ARLID cav_un_auth*0283207
project_id GAP103/12/1794
agency GA ČR
country CZ
abstract (eng) Abstract—In this article we present a novel approach to identification of a class of mechanical systems that can be written in a form of Euler-Lagrage equations. This identification procedure is based on a polynomial regression that is employed for data smoothing and estimation. Procedure requires only the measurements of torques or forces that are used to control the system and measurements of angles or other co-ordinates that are used to specify the location of the system. This identification algorithm is demonstrated on the problem of identification of three link bipedal robot and the results indicate that the procedure is effective and over-performs classical approaches used to solve the problem.
action
ARLID cav_un_auth*0308759
name The 2014 22nd Mediterranean Conference on Control and Automation (MED)
dates 16.06.2014-19.06.2014
place Palermo
country IT
RIV BC
reportyear 2015
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0238108
cooperation
ARLID cav_un_auth*0298829
name České vysoké učení technické v Praze, Fakulta elektrotechnická
country CZ
confidential S
arlyear 2014
mrcbU14 84916931171 SCOPUS
mrcbU34 000400962700154 WOS
mrcbU56 textový dokument 323 kB
mrcbU63 cav_un_epca*0433944 Proceedings of the 2014 22nd Mediterranean Conference on Control and Automation (MED) 978-1-4799-5899-3 924 929 Palermo IEEE 2014