Global and robust stability of interval hopfield neural networks with time-varying delays

Xiaofeng Liao, Jun Wang, Jinde Cao

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)

Abstract

In this paper, we investigate the problem of global and robust stability of a class of interval Hopfield neural networks that have time-varying delays. Some criteria for the global and robust stability of such networks are derived, by means of constructing suitable Lyapunov functionals for the networks. As a by-product, for the conventional Hopfield neural networks with time-varying delays, we also obtain some new criteria for their global and asymptotic stability.

Original languageEnglish
Pages (from-to)171-182
Number of pages12
JournalInternational Journal of Neural Systems
Volume13
Issue number3
DOIs
Publication statusPublished - Jun 2003
Externally publishedYes

Keywords

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

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