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Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control

Authors :
Qingju Fan
Gaoxi Xiao
Ming-Feng Ge
Guang Ling
Xinghua Liu
Source :
Neural networks : the official journal of the International Neural Network Society. 139
Publication Year :
2020

Abstract

This paper investigates the quasi-synchronization problem of the stochastic heterogeneous complex dynamical networks with impulsive couplings and multiple time-varying delays. It is shown that this kind of dynamical networks can achieve exponential quasi-synchronization by exerting impulsive control added on only one chosen pinning node. By employing the Lyapunov stability theory, some sufficient criteria on quasi-synchronization for this dynamical network are established, revealing the relationship between the quasi-synchronization performance and the stochastic perturbations as well as the frequency and strength of impulsive coupling. Finally, some numerical examples are used to illustrate the effectiveness of the main results.

Details

ISSN :
18792782
Volume :
139
Database :
OpenAIRE
Journal :
Neural networks : the official journal of the International Neural Network Society
Accession number :
edsair.doi.dedup.....c7d48401caf9b202a142ec15c85f3cc2