| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1894091 | Chaos, Solitons & Fractals | 2007 | 7 Pages |
Abstract
Global asymptotic stability and exponential stability of delayed cellular neural networks is considered in this paper. Based on the Lyapunov stability theorem as well as a fact about the elemental inequality, some new sufficient conditions are given for global asymptotic stability and exponential stability of delayed cellular neural networks. The results are less conservative than those established in the earlier references. Three examples are given to illustrate the applicability of these conditions.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Qiang Zhang, Xiaopeng Wei, Jin Xu,