Exponential Stability of Interval Neural Networks with Variable Delays

  • Jiye Zhang
  • Dianbo Ren
  • Weihua Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)


In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of interval neural networks with variable delays are studied. Applying idea of vector Liapunov function, the sufficient conditions for global exponential stability of interval neural networks are obtained.


Neural Network Equilibrium Point Exponential Stability Variable Delay Cellular Neural Network 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jiye Zhang
    • 1
  • Dianbo Ren
    • 1
  • Weihua Zhang
    • 1
  1. 1.National Traction Power LaboratorySouthwest Jiaotong UniversityChengduPeople’s Republic of China

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