| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1868494 | Physics Letters A | 2006 | 6 Pages |
Abstract
Based on the Lyapunov-Krasovskii functionals combined with linear matrix inequality approach, a novel stability criterion is proposed for asymptotic stability of bidirectional associative memory neural networks with time delays. A novel delay-dependent stability criterion is given in terms of linear matrix inequalities, which can be solved easily by various optimization algorithms.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Ju H. Park,