| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1890239 | Chaos, Solitons & Fractals | 2009 | 8 Pages |
Abstract
In this paper, the global asymptotic stability of delayed cellular neural networks of neutral-type is investigated. The delay is assumed to be time-varying and belongs to a given interval. A novel delay-dependent criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. Two numerical examples are given to show the effectiveness of proposed method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Ju H. Park, O.M. Kwon,