| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1894229 | Chaos, Solitons & Fractals | 2006 | 8 Pages |
Abstract
A delay-differential equation modelling a bidirectional associative memory (BAM) neural networks is investigated. An asymptotic stability of the BAM neural networks with time delays is considered by constructing a new suitable Lyapunov functional and some matrix inequality technique. A novel delay-dependent stability criterion is given in terms of matrix inequalities, which can be solved easily by various optimization algorithms.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Ju H. Park,