Name
Title | ||
|---|---|---|
Global Asymptotic Stability for Delayed Neural Networks Using an Integral Inequality Based on Nonorthogonal Polynomials. |
Abstract | ||
|---|---|---|
This brief is concerned with global asymptotic stability of a neural network with a time-varying delay. First, by introducing an auxiliary vector with some nonorthogonal polynomials, a slack-matrix-based integral inequality is established, which includes some existing one as its special case. Second, a novel Lyapunov-Krasovskii functional is constructed to suit for the use of the obtained integral... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNNLS.2017.2750708 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Biological neural networks,Asymptotic stability,Stability criteria,Linear matrix inequalities,Delays | Stability criterion,Applied mathematics,Mathematical optimization,Polynomial,Inequality,Exponential stability,Artificial intelligence,Artificial neural network,Mathematics,Machine learning,Special case | Journal |
Volume | Issue | ISSN |
29 | 9 | 2162-237X |
Citations | PageRank | References |
9 | 0.44 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xian-Ming Zhang | 1 | 1635 | 55.52 |
| Wen-Juan Lin | 2 | 63 | 5.61 |
| Qing-Long Han | 3 | 6396 | 315.39 |
| Yong He | 4 | 3691 | 220.49 |
| Min Wu | 5 | 3582 | 272.55 |