| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 407903 | Neurocomputing | 2013 | 7 Pages |
Abstract
This paper addresses the stability problem of a delayed neural networks. Combined with the property of convex function, by generalizing the famous Jensen integral inequality, a new triple-integral Lyapunov function is constructed, and a new improved delay-dependent stability criterion is derived. Two numerical examples are presented to illustrate the less conservatism and the effectiveness of the main results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zixin Liu, Jian Yu, Daoyun Xu, Dingtao Peng,