| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 408559 | Neurocomputing | 2011 | 7 Pages |
Abstract
The global exponential synchronization for a class of fuzzy cellular neural networks with delays and reaction–diffusion terms is discussed. Some new sufficient conditions are obtained by using the Lyapunov functional method, many real parameters and inequality techniques. The result is also easy to check and plays an important role in the design and application of globally exponentially synchronization. Finally, an example is given to verify our results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fang Yu, Haijun Jiang,