| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 411017 | Neurocomputing | 2006 | 5 Pages |
Abstract
In this paper, new delay-dependent asymptotic stability conditions for delayed Hopfield neural networks are given in terms of a linear matrix inequality, which are less conservative than existing ones in the literature. The conditions guarantee the existence of a unique equilibrium point and its global asymptotic stability of a given delayed Hopfield neural network.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xuyang Lou, Baotong Cui,