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  • 标题:Robust stability analysis of impulsive complex-valued neural networks with mixed time delays and parameter uncertainties
  • 本地全文:下载
  • 作者:Yuanshun Tan ; Sanyi Tang ; Xiaofeng Chen
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2018
  • 卷号:2018
  • 期号:1
  • 页码:62
  • DOI:10.1186/s13662-018-1521-2
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The robust stability for the impulsive complex-valued neural networks with mixed time delays is considered in this paper. Based on the homeomorphic mapping theorem, some sufficient conditions are proposed for the existence and uniqueness of the equilibrium point. By constructing appropriate Lyapunov–Krasovskii functions and employing modulus inequality techniques, the global robust stability theorem is obtained for the neural networks in complex domain. Finally, numerical simulations confirm the stability of the system and manifest that the complex-valued neural networks work efficiently on storing and retrieving the image patterns.
  • 关键词:Complex-valued neural networks ; Modulus inequality techniques ; Robust stability ; Mixed time delays ; Impulse
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