| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1891187 | Chaos, Solitons & Fractals | 2006 | 9 Pages |
Abstract
The global asymptotic stability of delay bi-directional associative memory neural networks with impulses are studied by constructing suitable Lyapunov functional. Sufficient conditions, which are independent to the delayed quantity, are obtained for the global asymptotic stability of the neural networks. Some illustrative examples are given to demonstrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Xu Yang Lou, Bao Tong Cui,