bibtype C - Conference Paper (international conference)
ARLID 0492892
utime 20240111141005.6
mtime 20180905235959.9
title (primary) (eng) A finite difference scheme for iterative learning control oriented modelling of physical systems described by PDEs in polar coordinates
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0492891
title Proceedings of the 23rd International Symposium on Mathematical Theory of Networks and Systems
page_num 659-665
publisher
place Hong Kong
name Hong Kong University of Science and Technology
year 2018
keyword Finite difference
keyword Iterative learning control
keyword PDE discretization
author (primary)
ARLID cav_un_auth*0213204
name1 Augusta
name2 Petr
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*0243458
name1 Cichy
name2 B.
country PL
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_size 309 KB
cas_special
abstract (eng) Iterative learning control is a well established area of research and applications in engineering and more recently healthcare. This form of control is especially suitable for applications where the system is required to make repeated executions of a finite duration task with resetting to the starting location at the end of each execution. The majority of the theory and designs are for systems described by finite dimensional differential or discrete dynamics but there is increasing interest in the extension to systems described by partial differential equations, where the interest in this paper is in the use of approximate finite dimensional models of the dynamics. The construction of such models studied using a regular hexagonal grid and polar coordinates, with a fourth order partial differential equation as an example. A supporting numerical application study is also given.
action
ARLID cav_un_auth*0363598
name The 23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS 2018)
dates 20180716
mrcbC20-s 20180720
place Hong Kong University of Science and Technology
country HK
RIV BC
FORD0 20000
FORD1 20200
FORD2 20201
reportyear 2019
num_of_auth 4
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0286501
cooperation
ARLID cav_un_auth*0363599
name Institute of Control and Computation Engineering, University of Zielona Gora
country PL
cooperation
ARLID cav_un_auth*0350834
name Department of Electronics and Computer Science, University of Southampton
country GB
confidential S
arlyear 2018
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU56 309 KB
mrcbU63 cav_un_epca*0492891 Proceedings of the 23rd International Symposium on Mathematical Theory of Networks and Systems 659 665 Hong Kong Hong Kong University of Science and Technology 2018