Paper Info
Title
Cluster Synchronization of Impulsive Complex Networks with Stochastic Perturbations and Time-Varying Delays.
Abstract
This paper investigates the cluster synchronization of impulsive complex networks with stochastic perturbation and time-varying delays. Besides, the nodes in the complex networks are nonidentical. By utilizing the Lyapunov stability theory, stochastic analysis theory, and linear matrix inequalities (LMI), sufficient conditions are derived to guarantee the cluster synchronization. The numerical simulation is provided to show the effectiveness of the theoretical results. © 2013 Yi Zhao et al.
Year
DOI
Venue
2013
10.1155/2013/678543
J. Applied Mathematics
Keywords
Field
DocType
NEURAL-NETWORKS,PHASE SYNCHRONIZATION,ASYMPTOTIC STABILITY,CHAOTIC OSCILLATORS,COUPLED OSCILLATORS,LEAKAGE TERM,SYSTEMS,EQUATIONS
Synchronization,Mathematical optimization,Computer simulation,Control theory,Matrix (mathematics),Lyapunov stability,Stochastic process,Complex network,Mathematics,Perturbation (astronomy)
Journal
Volume
Issue
ISSN
2013
null
16870042
Citations 
PageRank 
References 
0
0.34
13
Authors
3
Name
Order
Citations
PageRank
Yi Zhao114438.97
Jianwen Feng220015.73
Jingyi Wang3838.91