| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9662471 | Computers & Mathematics with Applications | 2005 | 8 Pages |
Abstract
In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov function, the sufficient conditions for global exponential stability of neural networks are obtained.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
W. Zheng, J. Zhang,