| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1709033 | Applied Mathematics Letters | 2009 | 5 Pages |
Abstract
In this paper, the global exponential stability for a class of neural networks is investigated. A simple criterion ensuring global exponential stability is established, which is a less restrictive version of a recent criterion due to Park and Kwon. Some examples showing the effectiveness of the present criterion are given.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Xiaodi Li,