Name
Title | ||
|---|---|---|
An analysis on global robust exponential stability of neural networks with time-varying delays |
Abstract | ||
|---|---|---|
The paper presents a new sufficient condition for the existence, uniqueness and global robust exponential stability of the equilibrium point for interval neural networks with time-varying delays. Theoretical analysis indicates that the obtained result improves and generalizes some previous results derived in the literatures. It is also shown by a numerical example that a recently reported result is invalid because the proof of it is not always right. Finally, a numerical example and the corresponding simulation are given to show the effectiveness of the obtained result. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.neucom.2008.11.023 | Neurocomputing |
Keywords | DocType | Volume |
Interval neural networks,Time-varying delays,Global robust exponential stability,M-matrix | Journal | 72 |
Issue | ISSN | Citations |
7 | 0925-2312 | 2 |
PageRank | References | Authors |
0.42 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin-Liang Shao | 1 | 96 | 10.49 |
| Ting-Zhu Huang | 2 | 851 | 101.81 |
| Sheng Zhou | 3 | 5 | 1.54 |