| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1708608 | Applied Mathematics Letters | 2012 | 6 Pages |
Abstract
In this paper, the global stability problem for a general discrete Cohen–Grossberg neural network with finite and infinite delays is investigated. A simple criterion ensuring the global asymptotical stability is established, by applying the Lyapunov method and graph theory. Finally, an example showing the effectiveness of the provided criterion is given.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Wenxue Li, Lisha Pang, Huan Su, Ke Wang,