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) |
TŘ |
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 |
|
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 |
|