bibtype J - Journal Article
ARLID 0475621
utime 20240111140941.6
mtime 20170623235959.9
SCOPUS 85021793459
WOS 000435195200031
DOI 10.1109/TCST.2017.2709277
title (primary) (eng) Application of the Method of Maximum Likelihood to Identification of Bipedal Walking Robots
specification
page_count 8 s.
media_type E
serial
ARLID cav_un_epca*0253228
ISSN 1063-6536
title IEEE Transactions on Control Systems Technology
volume_id 26
volume 4 (2018)
page_num 1500-1507
publisher
name Institute of Electrical and Electronics Engineers
keyword Control
keyword identification
keyword maximum likelihood (ML)
keyword walking robots
author (primary)
ARLID cav_un_auth*0279330
name1 Dolinský
name2 Kamil
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
institution UTIA-B
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101074
name1 Čelikovský
name2 Sergej
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
institution UTIA-B
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type článek v odborném periodiku
url http://library.utia.cas.cz/separaty/2018/TR/dolinsky-0475621.pdf
source_size 1,13 MB
cas_special
project
ARLID cav_un_auth*0347203
project_id GA17-04682S
agency GA ČR
country CZ
abstract (eng) This brief studies the problem of parameter estimation and model identification for a class of underactuated mechanical systems modeled via the Euler–Lagrange formalism, such as underactuated walking robots. This problem is closely related with the measurement of the absolute orientation during walking. A novel identification method suited for this problem\nwas proposed. The method takes advantage of the linear structure of the model with respect to estimated parameters. The resulting estimator is calculated iteratively and maximizes\nthe likelihood of the data. The method was tested on both simulated and experimental data. Simulation was carried out for an underactuated walking robot with a distance meter to\nmeasure absolute orientation. Laboratory experiment was carried out on a leg of a laboratory walking robot model equipped with a three-axis accelerometer and gyroscope to measure absolute\norientation. The method performs favorably in comparison with other benchmark estimation algorithms and both the simulation example and the laboratory experiment confirmed its high\npotential for the use in identification of underactuated robotic walkers.
result_subspec WOS
RIV BC
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2019
num_of_auth 2
mrcbC52 4 A hod 4ah 20231122142509.2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0272293
mrcbC64 1 Department of Control Theory UTIA-B 20205 AUTOMATION & CONTROL SYSTEMS
confidential S
mrcbC86 2 Article Automation Control Systems|Engineering Electrical Electronic
mrcbT16-e AUTOMATIONCONTROLSYSTEMS|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 1.538
mrcbT16-s 1.811
mrcbT16-B 84.752
mrcbT16-D Q1
mrcbT16-E Q1
arlyear 2018
mrcbTft \nSoubory v repozitáři: dolinsky-0475621.pdf
mrcbU14 85021793459 SCOPUS
mrcbU24 PUBMED
mrcbU34 000435195200031 WOS
mrcbU56 článek v odborném periodiku 1,13 MB
mrcbU63 cav_un_epca*0253228 IEEE Transactions on Control Systems Technology 1063-6536 1558-0865 Roč. 26 č. 4 2018 1500 1507 Institute of Electrical and Electronics Engineers