Impulsive Robust Control of Interval Hopfield Neural Networks

  • Yinping Zhang
  • Jitao Sun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3496)

Abstract

This paper discusses impulsive control and synchronization of interval Hopfield neural networks (HNN for short). Based on the matrix measure and new comparison theorem, this paper presents an impulsive robust control scheme of the interval HNN. We derive some sufficient conditions for the stabilization and synchronization of interval Hopfield neural networks via impulsive control with varying impulsive intervals. Moreover, the large upper bound of impulsive intervals for the stabilization and synchronization of interval HNN can be obtained.

Keywords

Drive System Matrix Measure Lorenz System Impulsive Control Hopfield 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 2005

Authors and Affiliations

  • Yinping Zhang
    • 1
  • Jitao Sun
    • 1
  1. 1.Dept. of Applied MathematicsTongji UniversityShanghaiChina

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