bibtype J - Journal Article
ARLID 0545245
utime 20231122145923.6
mtime 20210907235959.9
WOS 000656382300001
SCOPUS 85107282077
DOI 10.1007/s11045-021-00780-1
title (primary) (eng) Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain
specification
page_count 22 s.
media_type P
serial
ARLID cav_un_epca*0257286
ISSN 0923-6082
title Multidimensional Systems and Signal Processing
volume_id 32
volume 1 (2021)
page_num 1237-1258
publisher
name Springer
keyword Spatially distributed parameter systems
keyword Iterative learning control
author (primary)
ARLID cav_un_auth*0243458
name1 Cichy
name2 B.
country PL
garant K
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 https://link.springer.com/article/10.1007/s11045-021-00780-1
cas_special
abstract (eng) This paper gives new contributions to the development of iterative learning control for distributed parameter systems, based on using finite difference schemes to construct a finitedimensional approximate model of the dynamics for control law design. To form a basis for the new results, systems whose dynamics are described by a fourth-order partial differential equation are considered together with the associated accuracy and numerical stability checks. Some previous control law designs use only a spatial variable as the control input, which can be a serious obstacle to practical implementation since many actuators and sensors must be deployed. This paper’s new design is based on spatially homogeneous sensing and excitation over a selected sub-area of the domain considered. Supporting numerical case studies are given to support the analysis.
result_subspec WOS
RIV BC
FORD0 20000
FORD1 20200
FORD2 20204
reportyear 2022
num_of_auth 4
mrcbC52 4 A sml 4as 20231122145923.5
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0322151
cooperation
ARLID cav_un_auth*0413510
name Municipal Department of Transport
institution MDT
country PL
cooperation
ARLID cav_un_auth*0413511
name Institute of Automation, Electronic and Electrical Engineering, University of Zielona Gora
institution IA EEG
country PL
cooperation
ARLID cav_un_auth*0413512
name School of Electronics and Computer Science, University of Southampton
institution SECS US
country GB
confidential S
contract
name Licence to Publish
date 20201208
mrcbC86 3+4 Article Computer Science Theory Methods|Engineering Electrical Electronic
mrcbC91 C
mrcbT16-e COMPUTERSCIENCETHEORYMETHODS|ENGINEERINGELECTRICALELECTRONIC
mrcbT16-j 0.335
mrcbT16-s 0.452
mrcbT16-D Q4
mrcbT16-E Q4
arlyear 2021
mrcbTft \nSoubory v repozitáři: augusta-0545245-PublicationAgreement.pdf
mrcbU14 85107282077 SCOPUS
mrcbU24 PUBMED
mrcbU34 000656382300001 WOS
mrcbU63 cav_un_epca*0257286 Multidimensional Systems and Signal Processing 0923-6082 1573-0824 Roč. 32 č. 1 2021 1237 1258 Springer