Global Exponential Robust Stability of High-Order Hopfield Neural Networks with S-Type Distributed Time Delays
作者: Haiyong ZhengBin WuTengda WeiLinshan WangYangfan WangReinaldo Martinez Palhares
作者单位: 1College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
2School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China
3College of Marine Life Science and School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China
刊名: Journal of Applied Mathematics, 2014, Vol.2014
来源数据库: Hindawi Journal
DOI: 10.1155/2014/705496
原始语种摘要: By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the high-order neural networks with S-type distributed time delays are established, which are easy to be verified with a wider adaptive scope.
全文获取路径: Hindawi 
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关键词翻译
关键词翻译
  • distributed 分布的
  • exponential 指数的
  • technique 技术
  • robust 牢固的
  • adaptive 适应的
  • neural 神经系统的
  • stability 稳定性
  • inequality 不等式
  • criteria 准则
  • global 球状的