Name
Title | ||
|---|---|---|
Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control |
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neunet.2021.03.011 | Neural Networks |
Keywords | DocType | Volume |
Stochastic quasi-synchronization,Heterogeneous dynamical networks,Impulsive coupling,Time-varying delays,Single impulsive control | Journal | 139 |
Issue | ISSN | Citations |
1 | 0893-6080 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guang Ling | 1 | 14 | 2.72 |
| Ming-Feng Ge | 2 | 65 | 9.85 |
| Xinghua Liu | 3 | 11 | 6.76 |
| Gaoxi Xiao | 4 | 2 | 1.75 |
| Qingju Fan | 5 | 0 | 0.68 |