| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4642199 | Journal of Computational and Applied Mathematics | 2008 | 6 Pages |
Abstract
In this paper the convergence behavior of delayed shunting inhibitory cellular neural networks with time-varying coefficients are considered. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to the zero point, which are new and complement previously known results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yaqiong Li, Hua Meng, Qiyuan Zhou,