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Novel robust stability criteria for interval-delayed Hopfield neural networks

Xiaofeng Liao, Kwok-Wo Wong, Zhongfu Wu, Guanrong Chen

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

Abstract

In this paper, some novel criteria for the global robust stability of a class of interval Hopfield neural networks with constant delays are given. Based on several new Lyapunov functionals, delay-independent criteria are provided to guarantee the global robust stability of such systems. For conventional Hopfield neural networks with constant delays, some new criteria for their global asymptotic stability are also easily obtained. All the results obtained are generalizations of some recent results reported in the literature for neural networks with constant delays. Numerical examples are also given to show the correctness of our analysis.
Original languageEnglish
Pages (from-to)1355-1359
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume48
Issue number11
DOIs
Publication statusPublished - Nov 2001

Research Keywords

  • Interval Hopfield neural networks
  • Lyapunov functionals
  • Robust stability
  • Time delays

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