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Dynamic analysis of periodic solution for high-order discrete-time Cohen-Grossberg neural networks with time delays
Kaiyun Sun1, Ancai Zhang, Jianlong Qiu
1School of Science, Linyi University, Linyi, Shandong 276005, China.
Abstract:
In this paper, we analyze the dynamic behavior of periodic solution for the high-order discrete-time Cohen-Grossberg neural networks (CGNNs) with time delays. First, the existence is studied based on the continuation theorem of coincidence degree theory and Young's inequality. And then, the criterion for the global exponential stability is given using Lyapunov method. Finally, simulation result shows the effectiveness of our proposed criterion.
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