| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4635245 | Applied Mathematics and Computation | 2007 | 5 Pages |
Abstract
For cellular neural networks with time-varying delays and uncertainties, a recent work for exponential stability with convergence rate k of the networks is extended. A new linear matrix inequality criterion for the stability, which give information on the delay-dependent property, is derived.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ju H. Park,