bibtype J - Journal Article
ARLID 0599345
utime 20241022134125.9
mtime 20241014235959.9
DOI 10.3390/axioms13100702
title (primary) (eng) Non-Fragile Sampled Control Design for an Interconnected Large-Scale System via Wirtinger Inequality
specification
page_count 15 s.
media_type E
serial
ARLID cav_un_epca*0559704
ISSN AXIOMS
title AXIOMS
volume_id 13
publisher
name MDPI
keyword Large-scale system
keyword Wirtinger inequality
keyword Non-fragile control
keyword Linear matrix inequality (LMI)
author (primary)
ARLID cav_un_auth*0215855
name1 Lynnyk
name2 Volodymyr
institution UTIA-B
full_dept (cz) Teorie řízení
full_dept (eng) Department of Control Theory
department (cz)
department (eng) TR
full_dept Department of Control Theory
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0216347
name1 Rehák
name2 Branislav
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.
source
url https://library.utia.cas.cz/separaty/2024/TR/lynnyk-0599345.pdf
source
url https://www.mdpi.com/2075-1680/13/10/702
cas_special
abstract (eng) A control design for a linear large-scale interconnected system composed of identical subsystems is presented in this paper. The control signal of all subsystems is sampled. For different subsystems, the sampling times are not identical. Nonetheless, it is assumed that a bound exists for the maximal sampling time. The control algorithm is designed using theWirtinger inequality, and the non-fragile control law is proposed. The size of the linear matrix inequalities to be solved by the proposed control algorithm is independent of the number of subsystems composing the overall system. Hence, the algorithm is computationally effective. The results are illustrated by two examples. The first example graphically illustrates the function of the proposed algorithm while the second one compares with a method for stabilizing a large-scale system obtained earlier, thus illustrating the improved capabilities of the presented algorithm.
result_subspec WOS
RIV BC
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2025
num_of_auth 2
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0356820
confidential S
article_num 702
mrcbC91 A
mrcbT16-e MATHEMATICSAPPLIED
mrcbT16-j 0.296
mrcbT16-D Q4
arlyear 2024
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU63 cav_un_epca*0559704 AXIOMS 13 10 - Special Issue Advances in Mathematical Methods in Optimal Control and Applications 2024 2075-1680 MDPI