| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 472658 | Computers & Mathematics with Applications | 2011 | 8 Pages |
Abstract
Employing the matrix measure approach and Lyapunov function, the author studies the global exponential stability of delayed neural networks with impulses in this paper. Some novel and sufficient conditions are given to guarantee the global exponential stability of the equilibrium point for such delayed neural networks with impulses. Finally, three examples are given to show the effectiveness of the results obtained here.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Chuanzhi Bai,