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Global Synchronization of Impulsive Coupled Delayed Neural Networks

  • Jin Zhou
  • Tianping Chen
  • Lan Xiang
  • Meichun Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)

Abstract

This paper formulates and studies a model of impulsive coupled delayed neural networks. Based on stability theory of impulsive dynamical systems, a simple but less-conservative criterion is derived for global synchronization of such coupled neural networks. Furthermore, the theoretical result is applied to a typical chaotic delayed Hopfied neural networks, and is also illustrated by numerical simulations.

Keywords

Neural Network Spiral Wave Cellular Neural Network Global Synchronization Chaotic 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

  • Jin Zhou
    • 1
  • Tianping Chen
    • 2
  • Lan Xiang
    • 3
  • Meichun Liu
    • 3
  1. 1.Shanghai Institute of Applied Mathematics and MechanicsShanghai UniversityShanghaiP.R. China
  2. 2.Laboratory of Nonlinear Science, Institute of MathematicsFudan UniversityShanghaiP.R. China
  3. 3.Department of Applied Mathematics and PhysicsHebei University of TechnologyTianjinP.R. China

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