Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1890790 | Chaos, Solitons & Fractals | 2006 | 6 Pages |
Abstract
Some sufficient conditions for the global exponential stability of cellular neural networks with variable delay are obtained by means of a method based on delay differential inequality. The method, which does not make use of Lyapunov functionals, is simple and effective for the stability analysis of neural networks with delay. Some previously established results in the literature are shown to be special cases of the presented result.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Qiang Zhang, Xiaopeng Wei, Jin Xu,