| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409267 | Neurocomputing | 2008 | 7 Pages |
Abstract
In this paper, we formulate and study a new class of discrete neural networks with time dependent delay and impulses. Sufficient conditions for the asymptotic stability of a unique equilibrium of the networks with Lipschitizian activation functions are established. Also when the impulsive jumps are absent the results reduce to those of non-impulsive networks.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hong Zhang, Lansun Chen,