| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 838453 | Nonlinear Analysis: Real World Applications | 2009 | 7 Pages |
Abstract
Based on Lyapunov–Krasovskii stability theory and the linear matrix inequality (LMI) technique, a criterion is derived to guarantee the global exponential stability of the class of delayed neural networks with time-varying delays, which generalizes and improves previous results. Numerical examples demonstrate the effectiveness of the criterion.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Kaiyu Liu, Hongqiang Zhang,