| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4632264 | Applied Mathematics and Computation | 2009 | 5 Pages |
Abstract
By constructing suitable Lyapunov functionals and combining with matrix inequality technique, a new simple sufficient condition is presented for the global asymptotic stability in the mean square of delayed neural networks.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yingxin Guo,