Name
Title | ||
|---|---|---|
Synchronization of linear dynamical networks under stochastic impulsive coupling protocols. |
Abstract | ||
|---|---|---|
This paper investigates a stochastic impulsive coupling protocol for synchronization of linear dynamical networks based on discrete-time sampled-data. The convergence of the networks under the proposed protocol is discussed, and some sufficient conditions are showed to guarantee almost sure exponential synchronization. Moreover, this coupling protocol with a pinning control scheme is developed to lead the state of all nodes to almost sure exponentially converge to a virtual synchronization target. It is shown that the almost sure exponential synchronization can be achieved by only interacting based on the stochastic feedback information at discrete-time instants. Some numerical examples are finally provided to present the effectiveness of the proposed stochastic coupling protocols. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jfranklin.2017.05.010 | Journal of the Franklin Institute |
Field | DocType | Volume |
Convergence (routing),Synchronization,Virtual synchronization,Coupling,Control theory,Exponential synchronization,Mathematics,Exponential growth | Journal | 354 |
Issue | ISSN | Citations |
12 | 0016-0032 | 0 |
PageRank | References | Authors |
0.34 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingyi Wang | 1 | 83 | 8.91 |
| Jianwen Feng | 2 | 200 | 15.73 |
| Chen Xu | 3 | 269 | 29.36 |
| Yi Zhao | 4 | 144 | 38.97 |
| Michael Z. Q. Chen | 5 | 834 | 41.20 |