Description

• Title:
  Global exponential stability and existence of anti-periodic solutions to impulsive Cohen-Grossberg neural networks on time scales
• Creator:
  Zhang, Tianwei;
  Li, Yongkun
• Description:
  By using the method of coincidence degree theory and Lyapunov functions, some new criteria are established for the existence and global exponential stability of anti-periodic solutions to impulsive Cohen-Grossberg neural networks on time scales. Our results are new even if the time scale $\mathbb{T}=\mathbb{R}$ or $\mathbb{Z}$. Finally, an example is given to illustrate our results.
• Object availability:
  free access
• Rights:
  Prawa autorskie (c) 2015 Topological Methods in Nonlinear Analysis
• Date:
  2015.06.01
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Recenzowany artykuł
• Language:
  English
• Source:
  Topological Methods in Nonlinear Analysis; Vol 45, No 2 (June 2015); 363 - 384;
  1230-3429
• Publisher:
  Nicolaus Copernicus University in Toruń
• Relation: https://apcz.umk.pl/TMNA/article/view/TMNA.2015.018/7450
• Subject:
  Anti-periodic solution;
  Cohen--Grossberg neuralnetworks;
  impulse;
  time scale;
  34K13;
  34K20;
  34N05;
  92B20
• Identifier: https://apcz.umk.pl/TMNA/article/view/TMNA.2015.018
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  other