Name
Abstract | ||
|---|---|---|
The pinning synchronization problem of stochastic impulsive networks (SIN) is investigated. Using Lyapunov stability theory and pinning method, some sufficient criteria are derived for asymptotical synchronization and exponential synchronization of such dynamical networks in mean square. Illustrative examples are provided to verify the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.neucom.2010.02.010 | Neurocomputing |
Keywords | Field | DocType |
asymptotical synchronization,impulsive pinning synchronization,exponential synchronization,illustrative example,stochastic neural networks,dynamical network,stochastic impulsive network,stochastic discrete-time network,sufficient criterion,pinning synchronization problem,pinning synchronization,impulsive system,mean square,lyapunov stability theory,discrete time,neural network | Mean square,Synchronization,Control theory,Stochastic neural network,Lyapunov stability,Exponential synchronization,Discrete time and continuous time,Mathematics,Synchronization of chaos | Journal |
Volume | Issue | ISSN |
73 | 10-12 | Neurocomputing |
Citations | PageRank | References |
18 | 1.02 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Tang | 1 | 1310 | 64.50 |
| S. Y. S. Leung | 2 | 227 | 13.99 |
| W. K. Wong | 3 | 957 | 49.71 |
| Jian-an Fang | 4 | 529 | 23.40 |