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Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen-Grossberg Neural Networks

  • Tianping Chen
  • Lili Wang
  • Changlei Ren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

Abstract

In this paper, we investigate a large class of periodic Cohen-Grossberg neural networks and prove that under some mild conditions, there is a unique almost-periodic solution, which is globally stable. As special examples, we derive many results given in literature.

Keywords

Periodic Solution Exponential Stability Cellular Neural Network Global Exponential Stability Delay Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tianping Chen
    • 1
  • Lili Wang
    • 1
  • Changlei Ren
    • 1
  1. 1.Key Laboratory of Nonlinear Science of Educational Chinese Ministry of Education, Institute of MathematicsFudan UniversityShanghaiP.R. China

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