Name
Title | ||
|---|---|---|
Global Asymptotic Stability Of Neural Networks With Uncertain Parameters And Time-Varying Delay |
Abstract | ||
|---|---|---|
This paper is concerned with global asymptotically stability problem for a class of neural networks with uncertain parameters and time-varying delay. Using a new proposed inequality called free-matrix-based integral inequality, the new robust criterion is proposed, which is expressed by linear matrix inequalities, by means of linear matrix inequality technique to deal with the unknown parameters in the neutral systems. An example is simulated to demonstrate the effectiveness and efficiency of the obtained criterion. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1504/IJCAT.2018.10014071 | INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY |
Keywords | Field | DocType |
neural networks stability, time-varying delay, uncertain parameters, Lyapunov-Krasovskii functional | Applied mathematics,Matrix (mathematics),Control engineering,Exponential stability,Engineering,Artificial neural network,Neutral systems,Linear matrix inequality | Journal |
Volume | Issue | ISSN |
57 | 3 | 0952-8091 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Li | 1 | 6 | 2.98 |
| Jianhua Zhang | 2 | 120 | 12.91 |
| Xueli Wu | 3 | 11 | 4.44 |