| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4631011 | Applied Mathematics and Computation | 2011 | 7 Pages |
Abstract
By employing Young inequality and constructing suitable Liapunov functions, we investigate the existence and globally exponential stability of periodic neural networks with impulses and time-varying delays. The results extend and improve some earlier ones [1], [5] and [12]. An illustrative example and simulations are given to show the validity of the main results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yuanfu Shao,