| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1710577 | Applied Mathematics Letters | 2006 | 6 Pages |
Abstract
In this work, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of interval neural networks with variable delays are studied. Applying the idea of the vector Lyapunov function, and M-matrix theory, the sufficient conditions for global exponential stability of interval neural networks are obtained.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Jiye Zhang,