| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1709981 | Applied Mathematics Letters | 2009 | 6 Pages |
Abstract
In this paper, a new nonlinear integro-differential inequality is established. Using the properties of MM-cone and a generalization of Barbalat’s lemma, the boundedness and asymptotic behavior for the solution of the inequality are obtained. Applying this nonlinear integro-differential inequality, the invariant and attracting sets for Cohen–Grossberg neural networks with mixed delays are obtained. The results extend and improve the earlier publications. An example is given to illustrate the efficiency of the obtained results.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Daoyi Xu, Xiaohu Wang,