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  • 标题:Periodic solutions for quaternion-valued fuzzy cellular neural networks with time-varying delays
  • 作者:Yongkun Li ; Yongkun Li ; Jiali Qin
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2019
  • 卷号:2019
  • 期号:1
  • 页码:63
  • DOI:10.1186/s13662-019-2008-5
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In this paper, quaternion-valued fuzzy cellular neural networks (QVFCNNs) with time-varying delays are considered. First, we decompose QVFCNNs into their equivalent real-valued systems according to Hamilton’s multiplication rules. Then, we establish the existence and global exponential stability of periodic solutions of QVFCNNs by using the Schauder fixed point theorem and by constructing an appropriate Lyapunov function. Our results are completely new and supplementary to the known results. Finally, we give a numerical example to illustrate the effectiveness of our results.
  • 关键词:Quaternion-valued fuzzy cellular neural networks ; Schauder fixed point theorem; Periodic solution ; Global exponential stability ; Time-varying delays
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