| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10733324 | Chaos, Solitons & Fractals | 2005 | 11 Pages |
Abstract
The global exponential stability of the equilibrium point of Cohen-Grossberg neural networks with time-varying delays is first investigated. Furthermore, some sufficient conditions for existence and uniqueness of equilibrium and global exponential stability of the time-varying delayed Cohen-Grossberg neural networks are obtained by using the topological degree theory, M-matrix, Lyapunov functional method and some analysis techniques.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Jiang Liu,