| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1862913 | Physics Letters A | 2008 | 5 Pages |
Abstract
Global asymptotic stability for Cohen–Grossberg neural networks (CGNNs) with time-varying delays is investigated. Criteria are proposed to guarantee the stability and uniqueness of equilibrium point of CGNNs via LMI approach. A numerical example is illustrated to show the effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Chang-Hua Lien, Ker-Wei Yu, Yen-Feng Lin, Yeong-Jay Chung, Long-Yeu Chung,