Name
Title | ||
|---|---|---|
Global exponential synchronization of interval neural networks with mixed delays via delayed impulsive control |
Abstract | ||
|---|---|---|
This paper investigates the synchronization problem of interval neural networks with both time-varying and unbounded distributed delays under delayed impulsive control. A new impulsive differential inequality which considers the effect of time delays in impulses is proposed. Based on the inequality, several synchronization criteria for interval neural networks are derived by employing impulsive control theory and inequality techniques. Finally, a numerical example with simulation results is provided to show the validity of the conclusions. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2020.09.010 | Neurocomputing |
Keywords | DocType | Volume |
Global exponential synchronization,Interval neural networks,Impulsive differential inequality,Mixed delays,Delayed impulsive control | Journal | 420 |
ISSN | Citations | PageRank |
0925-2312 | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao Wang | 1 | 23 | 12.50 |
| Yujuan Tian | 2 | 1 | 0.69 |
| Xiaodi Li | 3 | 854 | 53.20 |