| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4633711 | Applied Mathematics and Computation | 2009 | 7 Pages |
Abstract
In this paper, BAM neural networks with mixed delays and impulses are considered. A new set of sufficient conditions are derived by constructing suitable Lyapunov functional with matrix theory for the global asymptotic stability of BAM neural networks with mixed delays and impulses. Moreover, an example is also provided to illustrate the effectiveness of the results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
R. Samidurai, R. Sakthivel, S.M. Anthoni,