Synchronization Control of Delayed Cohen-Grossberg Neural Networks with Diffusion Terms

نویسندگان

  • Teng Lv
  • Weimin He
  • Ping Yan
چکیده

Cohen-Grossberg neural networks which include Hopfield neural networks and Cellular neural networks as special cases and have important applications in many fields are researched by many authors. There is few results on synchronization control of delayed Cohen-Grossberg neural networks. In this paper, the synchronization control of delayed CohenGrossberg neural networks with diffusion terms is discussed by constructing suitable Lyapunov functional and using inequality techniques. Instead of the linear control term, we consider a class of nonlinear control term. Some sufficient conditions are given to ensure the synchronization control of the drive-response delayed Cohen-Grossberg neural networks with reactiondiffusion terms. A numerical example is presented to verify that the results in the paper are correct.

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تاریخ انتشار 2011