Article ID Journal Published Year Pages File Type
408287 Neurocomputing 2011 7 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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