Name
Title | ||
|---|---|---|
Stability analysis for neural networks with time-varying delay based on quadratic convex combination. |
Abstract | ||
|---|---|---|
In this paper, a novel method is developed for the stability problem of a class of neural networks with time-varying delay. New delay-dependent stability criteria in terms of linear matrix inequalities for recurrent neural networks with time-varying delay are derived by the newly proposed augmented simple Lyapunov-Krasovski functional. Different from previous results by using the first-order conve... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TNNLS.2012.2236571 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Delay,Neural networks,Symmetric matrices,Stability criteria,Linear matrix inequalities,Vectors | Mathematical optimization,Convex combination,Subderivative,Convex function,Proper convex function,Conic optimization,Convex optimization,Linear matrix inequality,Mathematics,Convex analysis | Journal |
Volume | Issue | ISSN |
24 | 4 | 2162-237X |
Citations | PageRank | References |
112 | 2.26 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| H Zhang | 1 | 7027 | 358.18 |
| Feisheng Yang | 2 | 189 | 7.46 |
| Xiaodong Liu | 3 | 492 | 28.50 |
| Qingling Zhang | 4 | 1353 | 100.93 |