| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4636684 | Applied Mathematics and Computation | 2006 | 6 Pages |
Abstract
For cellular neural networks with time-varying delays, the problems of determining the exponential stability and estimating the exponential convergence rate are investigated by employing the Lyapunov–Krasovskii functional and linear matrix inequality (LMI) technique. A novel criterion for the stability, which give information on the delay-dependent property, is derived. Two examples are given to demonstrate the effectiveness of the obtained results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ju H. Park,