Exponential convergence and Lagrange stability for impulsive Cohen–Grossberg neural networks with time-varying delays
作者：
Highlights：
• We discuss Lagrange stability for impulsive Cohen–Grossberg neural networks.
• We establish a new delay impulsive differential inequality.
• Some easily verified conditions of Lagrange exponential stability are obtained.
• Giving out the detail estimations of the exponential convergence ball.
• The results here generalize and improve the earlier publications.
摘要
•We discuss Lagrange stability for impulsive Cohen–Grossberg neural networks.•We establish a new delay impulsive differential inequality.•Some easily verified conditions of Lagrange exponential stability are obtained.•Giving out the detail estimations of the exponential convergence ball.•The results here generalize and improve the earlier publications.
论文关键词：Impulsive Cohen–Grossberg neural networks,Lagrange stability,Exponential convergence,Impulsive delay differential inequality,Lyapunov functions
论文评审过程：Received 29 December 2013, Revised 16 June 2014, Available online 16 September 2014.
论文官网地址：https://doi.org/10.1016/j.cam.2014.08.029
