Name
Abstract | ||
|---|---|---|
The main objective of this paper is further to investigate the adaptive projective synchronization problem for an array of coupled dynamical neural networks with both linear and nonlinear time-varying delays. Based on the Lyapunov stability theory, by using the technique of Young inequality, some inclusive results for the adaptive projective synchronization of the coupling networks are derived analytically. It is shown that under the controllers of this paper, the neural network will achieve adaptive projective synchronization for any coupling delays as long as the coupling strength is strong enough. Numerical simulations are shown to illustrate the effectiveness of these controllers. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.4304/jcp.7.8.2024-2030 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
neural networks, adaptive projective synchronization, time-varying delays, topology | Young's inequality,Coupling,Nonlinear system,Control theory,Computer science,Lyapunov stability,Coupling strength,Artificial neural network,Projective synchronization | Journal |
Volume | Issue | ISSN |
7 | 8 | 1796-203X |
Citations | PageRank | References |
5 | 0.60 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoliang Cai | 1 | 20 | 4.97 |
| Qin Yao | 2 | 5 | 1.61 |
| Xinghua Fan | 3 | 19 | 7.68 |
| Juan Ding | 4 | 5 | 0.60 |