Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408287 | Neurocomputing | 2011 | 7 Pages |
Abstract
In this paper, a class of Cohen–Grossberg neural networks with time-varying delays are studied by designing a periodically intermittent controller. Some novel and effective exponential synchronization criteria are derived by applying some analysis techniques. These results generalize a few previous known results and remove some restrictions on control width and time-delays. Finally, a chaotic Cohen–Grossberg neural network is represented to show the effectiveness and feasibility of our results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Juan Yu, Cheng Hu, Haijun Jiang, Zhidong Teng,