| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1890597 | Chaos, Solitons & Fractals | 2006 | 7 Pages |
Abstract
A new linear matrix inequality based approach to the uniqueness and global asymptotic stability of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. A new type of Lyapunov-Krasovskii functional is employed to derive the result.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Vimal Singh,