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Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks
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1 Theoretical Analysis
Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks
Chaojin Fu1  , Hanlin He2 and Xiaoxin Liao3
| (1) |
Department of Mathematics, Hubei Normal University, Huangshi, Hubei 435002, China |
| (2) |
Department of Basic Courses, Naval University of Engineering, Hubei, Wuhan, 430033, China |
| (3) |
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China |
Abstract
In this paper, we have obtained some sufficient conditions to guarantee that Cohen-Grossberg neural networks with discrete
and distributed delays have a periodic orbit and this periodic orbit are globally attractive. The results presented in this
paper are the improvement and extension of the existed ones in some existing works. Finally, the validity and performance
of the results are illustrated by two simulation examples.
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