Name
Abstract | ||
|---|---|---|
This paper investigates the problem of global μ-synchronization of impulsive pantograph neural networks. In this paper, new concept of ν-asymptotic periodic impulsive interval Tasyν is proposed for pantograph networks. By employing the Lyapunov method combined with the mathematical analysis approach for impulsive systems, some useful criteria are derived to guarantee the global μ-synchronization of coupled pantograph neural networks when the asymptotic logarithmic periodic impulsive interval Tasyln<∞ and Tasyln=∞, respectively. Especially when Tasyln=∞, as long as the networks are unstable, impulsive control cannot achieve synchronization regardless of the size of the impulse gain. Numerical simulations are exploited to illustrate our theoretical results. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neunet.2020.07.004 | Neural Networks |
Keywords | DocType | Volume |
Impulsive pantograph neural networks,μ-synchronization criterion,ν-asymptotic periodic impulsive interval | Journal | 131 |
Issue | ISSN | Citations |
1 | 0893-6080 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuechen Li | 1 | 32 | 6.98 |
| Nan Wang | 2 | 93 | 27.47 |
| jungang lou | 3 | 184 | 17.24 |
| Jianquan Lu | 4 | 2337 | 116.05 |