| bibtype |
J -
Journal Article
|
| ARLID |
0496006 |
| utime |
20240111141009.1 |
| mtime |
20181107235959.9 |
| SCOPUS |
85057300373 |
| WOS |
000558913100009 |
| DOI |
10.1080/00207179.2018.1543896 |
| title
(primary) (eng) |
On finite-time and fixed-time consensus algorithms for dynamic networks switching among disconnected digraphs |
| specification |
| page_count |
17 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0256786 |
| ISSN |
0020-7179 |
| title
|
International Journal of Control |
| volume_id |
93 |
| volume |
9 (2020) |
| page_num |
2120-2134 |
| publisher |
|
|
| keyword |
Fixed-time consensus |
| keyword |
Finite-time consensus |
| keyword |
dynamical networks |
| keyword |
multi-agent systems |
| keyword |
multiple interacting autonomous agents |
| keyword |
self-organizing systems |
| author
(primary) |
| ARLID |
cav_un_auth*0343234 |
| name1 |
Gómez-Gutiérrez |
| name2 |
D. |
| country |
MX |
|
| author
|
| ARLID |
cav_un_auth*0367151 |
| name1 |
Vázquez |
| name2 |
C. R. |
| 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) |
TŘ |
| 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 |
|
| author
|
| ARLID |
cav_un_auth*0213231 |
| name1 |
Ruiz-León |
| name2 |
J. |
| country |
MX |
|
| source |
|
| cas_special |
| project |
| project_id |
GA17-04682S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0347203 |
|
| abstract
(eng) |
The aim of this paper is to analyze a class of consensus algorithms with finite-time or fixed-time convergence for dynamic networks formed by agents with first-order dynamics. In particular, in the analyzed class a single evaluation of a nonlinear function of the consensus error is performed per each node. The classical assumption of switching among connected graphs is dropped here, allowing to represent failures and intermittent communications between agents. Thus, conditions to guarantee finite and fixed-time convergence, even while switching among disconnected graphs, are provided. Moreover, the algorithms of the considered class are shown to be computationally simpler than previously proposed finite-time consensus algorithms for dynamic networks, which is an important feature in scenarios with computationally limited nodes and energy efficiency requirements such as in sensor networks. The performance of the considered consensus algorithms is illustrated through simulations, comparing it to existing approaches for dynamic networks with finite-time and fixed-time convergence. It is shown that the settling time of the considered algorithms grows slower when the number of nodes increases than with other consensus algorithms for dynamic networks. |
| result_subspec |
WOS |
| RIV |
BC |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20201 |
| reportyear |
2021 |
| num_of_auth |
5 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0288845 |
| cooperation |
| ARLID |
cav_un_auth*0367152 |
| name |
Multi-agent autonomous systems lab, Intel Labs, Intel Tecnología de México |
| country |
MX |
|
| cooperation |
| ARLID |
cav_un_auth*0367153 |
| name |
Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias |
| country |
MX |
|
| cooperation |
| ARLID |
cav_un_auth*0367154 |
| name |
Research Laboratory on Optimal Design, Devices and Advanced Materials -OPTIMA-, Department of Mathematics and Physics, ITESO |
| country |
MX |
|
| cooperation |
| ARLID |
cav_un_auth*0343241 |
| name |
CINVESTAV, Unidad Guadalajara |
| country |
MX |
|
| confidential |
S |
| mrcbC86 |
1 Article Automation Control Systems |
| mrcbC91 |
C |
| mrcbT16-e |
AUTOMATIONCONTROLSYSTEMS |
| mrcbT16-i |
0.00822 |
| mrcbT16-j |
0.763 |
| mrcbT16-s |
0.793 |
| mrcbT16-B |
41.816 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2020 |
| mrcbU14 |
85057300373 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000558913100009 WOS |
| mrcbU56 |
664 kB |
| mrcbU63 |
cav_un_epca*0256786 International Journal of Control 0020-7179 1366-5820 Roč. 93 č. 9 2020 2120 2134 Taylor & Francis |
|