Literature DB >> 25462635

Dynamic analysis of periodic solution for high-order discrete-time Cohen-Grossberg neural networks with time delays.

Kaiyun Sun1, Ancai Zhang, Jianlong Qiu, Xiangyong Chen, Chengdong Yang, Xiao Chen.   

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.

Mesh:

Year:  2014        PMID: 25462635     DOI: 10.1016/j.neunet.2014.10.002

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  1 in total

1.  Mean almost periodicity and moment exponential stability of semi-discrete random cellular neural networks with fuzzy operations.

Authors:  Sufang Han; Guoxin Liu; Tianwei Zhang
Journal:  PLoS One       Date:  2019-08-07       Impact factor: 3.240

  1 in total

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