Quasi-bipartite synchronization of signed delayed neural networks under impulsive effects.
Delayed neural networks
Disturbance
Impulsive control
Quasi-bipartite synchronization
Journal
Neural networks : the official journal of the International Neural Network Society
ISSN: 1879-2782
Titre abrégé: Neural Netw
Pays: United States
ID NLM: 8805018
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
04
01
2020
revised:
19
04
2020
accepted:
11
05
2020
pubmed:
3
6
2020
medline:
28
11
2020
entrez:
3
6
2020
Statut:
ppublish
Résumé
This paper mainly studies quasi-bipartite synchronization (QBPS) of signed delayed neural networks (SDNNs) under impulsive effects, in which the nodes have cooperative as well as antagonistic interactions. It is assumed that disturbance occurs in the communication channels between some neighboring agents at impulsive occurring instants. Under the balanced network topology, some sufficient criteria to achieve QBPS of SDNNs are proposed by utilizing algebraic graph theory and extended Halanay differential inequality. Moreover, for the QBPS error of SDNNs, the upper bound of the final error state is also provided explicitly. Two numerical examples are presented to demonstrate the correctness of the theoretical results.
Identifiants
pubmed: 32485559
pii: S0893-6080(20)30182-9
doi: 10.1016/j.neunet.2020.05.012
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
31-42Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.