Name
Title | ||
|---|---|---|
Improved delay-dependent stability criteria for generalized neural networks with time-varying delays. |
Abstract | ||
|---|---|---|
This paper is concerned with the problem of stability analysis for generalized neural networks with time-varying delays. A novel integral inequality which includes several existing inequalities as special cases is presented. By employing a suitable Lyapunov–Krasovskii functional (LKF) and using the proposed integral inequality to estimate the derivative of the LKF, improved delay-dependent stability criteria expressed in terms of linear matrix inequalities are derived. Finally, four numerical examples are provided to demonstrate the effectiveness and the improvement of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ins.2017.08.072 | Information Sciences |
Keywords | Field | DocType |
Generalized neural networks,Time-varying delays,Lyapunov–Krasovskii functional,Integral inequality | Mathematical optimization,Matrix (mathematics),Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
420 | C | 0020-0255 |
Citations | PageRank | References |
8 | 0.42 | 33 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Yang | 1 | 82 | 33.30 |
| Juan Wang | 2 | 109 | 27.00 |
| Xiaodong Liu | 3 | 492 | 28.50 |