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Further Analysis on Stability for a Class of Neural Networks with Variable Delays and Impulses

  • Chang-bo Yang
  • Xing-wei Zhou
  • Tao Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 375)

Abstract

This paper is concerned with the global exponential stability of equilibrium point for a kind of neural networks with time-varying delays and impulsive perturbations. By using M-matrix theory, Halanay inequality and some analysis techniques, a novel condition is obtained to ascertain the global exponential stability of these networks. The derived result improves and extends some related results in the literature. Finally, an illustrative example is provided to demonstrate the effectiveness of our theoretical results.

Keywords

Neural networks M-matrix Variable delays Exponential stability Impulses 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chang-bo Yang
    • 1
    • 2
  • Xing-wei Zhou
    • 2
  • Tao Wang
    • 2
  1. 1.School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduP.R. China
  2. 2.Institute of Nonlinear AnalysisKunming UniversityKunmingP.R. China

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