| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4636097 | Applied Mathematics and Computation | 2006 | 6 Pages |
Abstract
In this paper, the global asymptotic stability of delayed cellular neural networks (DCNNs) is investigated. A novel criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. The criterion expressed by LMIs is delay-dependent. The result is less conservative than those established in the earlier references. A numerical example is given to show the effectiveness of proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ju H. Park,