| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4633962 | Applied Mathematics and Computation | 2008 | 10 Pages |
Abstract
For neural networks with multiple time-varying delays, the problems on asymptotical stability are studied in this paper. Based on the Lyapunov method and the linear matrix inequality technique, some asymptotical stability criteria with good properties are derived. Numerical examples show the effectiveness of theoretical results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
B. Wang, S. Zhong, X. Liu,