bibtype C - Conference Paper (international conference)
ARLID 0478952
utime 20240111140946.7
mtime 20171005235959.9
SCOPUS 85032197261
WOS 000432014404022
DOI 10.23919/ChiCC.2017.8027897
title (primary) (eng) Iterative Learning Control Applied to a Deformable Mirror
specification
page_count 6 s.
media_type E
serial
ARLID cav_un_epca*0478951
ISBN 978-1-5386-2918-5
title Proceedings of the 36th Chinese Control Conference
page_num 3485-3490
publisher
place Piscataway
name IEEE
year 2017
keyword Crank-Nicolson Discretization Method
keyword Iterative Learning Control
keyword Thin Plates
author (primary)
ARLID cav_un_auth*0243458
name1 Cichy
name2 B.
country PL
author
ARLID cav_un_auth*0213204
name1 Augusta
name2 Petr
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept Department of Control Theory
department (cz)
department TR
full_dept Department of Control Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0243459
name1 Galkowski
name2 K.
country PL
author
ARLID cav_un_auth*0228702
name1 Rogers
name2 E.
country GB
source
url http://ieeexplore.ieee.org/document/8027897/
source_size 2,26 MB
cas_special
abstract (eng) An unconditionally stable finite difference discretization motivated aby the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourh-order partial differential equation. A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basis for the new design, where a model for the actuator dynamics is also included. A numerical case study is given to demonstrate the properties of the new design.
action
ARLID cav_un_auth*0350832
name The 36th Chinese Control Conference
dates 20170726
mrcbC20-s 20170728
place Dalian
country CN
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2018
num_of_auth 4
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0275246
cooperation
ARLID cav_un_auth*0350833
name Institute of Control and Computation Engineering, University of Zielona Góra
country PL
cooperation
ARLID cav_un_auth*0350834
name Department of Electronics and Computer Science, University of Southampton
country GB
confidential S
article_num 8027897
mrcbC83 RIV/67985556:_____/17:00478952!RIV18-AV0-67985556 191975702 Doplnění UT WOS
mrcbC86 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Engineering Electrical Electronic
mrcbC86 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Engineering Electrical Electronic
mrcbC86 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Engineering Electrical Electronic
arlyear 2017
mrcbU14 85032197261 SCOPUS
mrcbU24 PUBMED
mrcbU34 000432014404022 WOS
mrcbU56 2,26 MB
mrcbU63 cav_un_epca*0478951 Proceedings of the 36th Chinese Control Conference 978-1-5386-2918-5 3485 3490 Piscataway IEEE 2017