bibtype J - Journal Article
ARLID 0506575
utime 20240903204335.2
mtime 20190719235959.9
SCOPUS 85049824968
WOS 000438112800017
DOI 10.13053/CyS-22-2-2420
title (primary) (eng) A Finite-Time Consensus Algorithm with Simple Structure for Fixed Networks
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0506574
ISSN 2007-9737
title Computación y Sistemas
volume_id 22
volume 2 (2018)
page_num 547-556
publisher
name DF Instituto Politécnico Nacional
keyword Finite-time consensus
keyword Multi-agent systems
keyword Multiple interacting autonomous agents
keyword Self-organizing systems
author (primary)
ARLID cav_un_auth*0377257
name1 Goméz-Gutiérrez
name2 D.
country MX
author
ARLID cav_un_auth*0213231
name1 Ruiz-León
name2 J.
country MX
author
ARLID cav_un_auth*0101074
name1 Čelikovský
name2 Sergej
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*0367129
name1 Sánchez-Torres
name2 J. D.
country MX
source
url https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2420
source_size 1,62 MB
cas_special
project
ARLID cav_un_auth*0292613
project_id GA13-20433S
agency GA ČR
abstract (eng) In this paper, a continuous-time consensus algorithm with guaranteed finite-time convergence is proposed. Using homogeneity theory, finite-time consensus is proved for fixed topologies. The proposed algorithm is computationally simpler than other reported finite-time consensus algorithms, which is an important feature in scenarios of energy efficient nodes with limited computing resources such as sensor networks. Additionally, the proposed approach is compared on simulations with existing consensus algorithms, namely, the standard asymptotic consensus algorithm and the finite-time and fixed-time convergent algorithms, showing, in cycle graph topology, better robustness features on the convergence with respect to the network growth with less control effort. Indeed, the convergence time of other previously proposed consensus algorithms grows faster as the network grows than the one herein proposed whereas the control effort of the proposed algorithm is lower.
result_subspec WOS
RIV BC
FORD0 20000
FORD1 20200
FORD2 20201
reportyear 2020
num_of_auth 4
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0297804
cooperation
ARLID cav_un_auth*0377259
name Tecnológico de Monterrey, Campus Guadalajara, Jalisco
country MX
cooperation
ARLID cav_un_auth*0377260
name CINVESTAV-IPN, Unidad Guadalajara, Jalisco
institution CINVESTAV-IPN
country MX
cooperation
ARLID cav_un_auth*0377261
name Czech Technical University in Prague, Faculty of Electrical Engineering, Prague,
country CZ
cooperation
ARLID cav_un_auth*0377262
name ITESO Guadalajara, Department of Mathematics and Physics, Jalisco
institution ITESO
country MX
confidential S
mrcbC86 3+4 Article Computer Science Information Systems
mrcbC91 C
arlyear 2018
mrcbU14 85049824968 SCOPUS
mrcbU24 PUBMED
mrcbU34 000438112800017 WOS
mrcbU56 1,62 MB
mrcbU63 cav_un_epca*0506574 Computación y Sistemas 2007-9737 2007-9737 Roč. 22 č. 2 2018 547 556 DF Instituto Politécnico Nacional