Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1140175 | Mathematics and Computers in Simulation | 2009 | 15 Pages |
Abstract
In this paper, we study a class of nonautonomous cellular neural networks with reaction-diffusion terms. By employing the method of variation parameter, applying inequality technique and introducing a lot of real parameters, we present some sufficient conditions ensuring the boundedness and globally exponential stability of the solutions for nonautonomous cellular neural networks with reaction-diffusion terms. The results obtained extend and improve the earlier publications. Finally, three examples with their numerical simulations are provided to show the correctness of our analysis.
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Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Hongyong Zhao, Zisen Mao,