| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4634670 | Applied Mathematics and Computation | 2008 | 9 Pages |
Abstract
In this paper, the global asymptotic stability of delayed cellular neural networks of neutral-type is investigated. A novel delay-dependent criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. Since the condition is dependent on the size of time delay, it is usually less conservative than delay-independent ones. Two numerical examples are given to show the effectiveness of proposed method.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ju H. Park, O.M. Kwon, S.M. Lee,