bibtype M - Monography Chapter
ARLID 0477336
utime 20240111140944.5
mtime 20170829235959.9
SCOPUS 85021204140
WOS 000470009800071
DOI 10.1007/978-3-319-60699-6_71
title (primary) (eng) Iterative Learning Control for a class of spatially interconnected systems
specification
book_pages 883
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0477343
ISBN 978-3-319-60698-9
ISSN 2194-5357
title Trends in Advanced Intelligent Control, Optimization and Automation
part_title volume 577
page_num 734-743
publisher
place Cham
name Springer
year 2017
editor
name1 Mitkowski
name2 W.
editor
name1 Kacprzyk
name2 J.
editor
name1 Oprzedkiewicz
name2 K.
editor
name1 Skruch
name2 P.
keyword Crank-Nicolson Discretization Method
keyword Iterative Learning Control
keyword Rectangular Plate
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
source_type kapitola v knize
cas_special
abstract (eng) An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an Iterative Learning Control (ILC) design for systems whose dynamics are described by a fourth-order partial differential equation. In particular, a discrete in time and space model of a deformable rectangular mirror, as an exemplar application, is derived and used in the ILC design. Finally, the feasibility of the new ILC design is confirmed by numerical simulations.
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2018
num_of_auth 4
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0273711
confidential S
mrcbC83 RIV/67985556:_____/17:00477336!RIV18-AV0-67985556 191975679 Doplnění UT WOS a Scopus
mrcbC86 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Theory Methods
mrcbC86 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Theory Methods
mrcbC86 3+4 Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Theory Methods
arlyear 2017
mrcbU14 85021204140 SCOPUS
mrcbU24 PUBMED
mrcbU34 000470009800071 WOS
mrcbU56 kapitola v knize
mrcbU63 cav_un_epca*0477343 Trends in Advanced Intelligent Control, Optimization and Automation 978-3-319-60698-9 2194-5357 734 743 Cham Springer 2017 Advances in Intelligent Systems and Computing volume 577
mrcbU67 Mitkowski W. 340
mrcbU67 340 Kacprzyk J.
mrcbU67 340 Oprzedkiewicz K.
mrcbU67 340 Skruch P.