Fixed-time synchronization of delayed Cohen-Grossberg neural networks based on a novel sliding mode.
Cohen–Grossberg neural networks
Discontinuous activations
Fixed-time synchronization
Sliding-mode surface
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:
Aug 2020
Aug 2020
Historique:
received:
29
09
2019
revised:
16
04
2020
accepted:
20
04
2020
pubmed:
11
5
2020
medline:
27
10
2020
entrez:
11
5
2020
Statut:
ppublish
Résumé
This paper has discussed fixed-time synchronization of discontinuous Cohen-Grossberg neural networks with time-varying delays and matched disturbances based on sliding mode control technology. First, a novel sliding-mode surface is established. And, the dynamics on the sliding-mode surface can be achieved in the fixed time by employing the Gudermannian function. Then, considering the effect of delay, two different control schemes are introduced to ensure the fixed time reachability of the sliding mode. In addition, some useful criteria are given out for fixed-time synchronization of neural networks, and the setting time is formulated in a straightforward way. Finally, some examples and simulations are presented to verify the validity of the proposed results.
Identifiants
pubmed: 32387920
pii: S0893-6080(20)30140-4
doi: 10.1016/j.neunet.2020.04.020
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-12Informations 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.