| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4628951 | Applied Mathematics and Computation | 2013 | 12 Pages |
Abstract
In this paper, together with some Lyapunov–Krasovskii functionals and effective mathematical techniques, several conditions are derived to guarantee a class of neural networks with discrete and distributed time-varying delays to be globally exponential stability. Finally, two numerical examples are given to illustrate the effectiveness of the proposed methods.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Lin Shi, Hong Zhu, Shouming Zhong, Liyuan Hou,