| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1890061 | Chaos, Solitons & Fractals | 2007 | 6 Pages |
Abstract
A novel criterion for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay is presented. The criterion takes the form of a linear matrix inequality and hence is computationally attractive. An example showing the effectiveness of the present approach is given.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Vimal Singh,