Name
Title | ||
|---|---|---|
Robust stability criteria for uncertain stochastic neural networks of neutral-type with interval time-varying delays. |
Abstract | ||
|---|---|---|
This paper deals with the robust stability problem of uncertain stochastic neural networks of neutral-type with interval time-varying delays. The uncertainties under consideration are norm-bounded, and the delay is assumed to be time-varying and belongs to a given interval. By using the Lyapunov-Krasovskill functional method and the linear matrix inequality (LMI) technique, the novel stability criteria are derived in terms of LMI. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed criteria. © 2011 Springer-Verlag London Limited. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/s00521-011-0696-1 | Neural Computing and Applications |
Keywords | DocType | Volume |
Lyapunov-Krasovskill functional,Neural networks,Neutral-type,Robust stability,Time-varying delays | Journal | 22 |
Issue | ISSN | Citations |
2 | 1433-3058 | 6 |
PageRank | References | Authors |
0.44 | 23 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoquan Liu | 1 | 6 | 0.78 |
| Simon X. Yang | 2 | 1029 | 124.34 |
| Yi Chai | 3 | 375 | 43.43 |
| Wei Feng | 4 | 6 | 0.44 |
| Wei Fu | 5 | 6 | 0.78 |