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  • 标题:Anti-periodic solution for impulsive high-order Hopfield neural networks with time-varying delays in the leakage terms
  • 本地全文:下载
  • 作者:Wentao Wang
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2013
  • 卷号:2013
  • 期号:1
  • 页码:273
  • DOI:10.1186/1687-1847-2013-273
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This paper presents new results on anti-periodic solutions for impulsive high-order Hopfield neural networks with time-varying delays in the leakage terms. By employing a novel proof, some criteria are derived for guaranteeing the existence and exponential stability of the anti-periodic solution, which are new and complement previously known results. Moreover, a numerical simulation is given to show the effectiveness.
  • 关键词:impulsive high-order Hopfield neural networks ; anti-periodic solution ; exponential stability ; time-varying delay ; leakage term
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