H stability conditions for delayed neural networks with external disturbances and norm-bounded uncertainties: Delay independent and dependent criteria

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2 Citations (Scopus)

Abstract

In this paper, we propose new delay independent and dependent H stability conditions for delayed neural networks with external disturbances and norm-bounded uncertainties. These conditions are presented to not only guarantee the asymptotical stability but also reduce the effect of external disturbance to an H norm constraint. The proposed conditions are represented by linear matrix inequalities (LMIs). Optimal H norm bounds are obtained easily by solving convex problems in terms of LMIs. The applicability of these conditions is illustrated by numerical examples.

Original languageEnglish
Pages (from-to)1691-1701
Number of pages11
JournalScience China Information Sciences
Volume54
Issue number8
DOIs
Publication statusPublished - 2011 Aug
Externally publishedYes

Keywords

  • H analysis
  • delayed neural networks
  • disturbance
  • linear matrix inequality (LMI)
  • uncertainty

ASJC Scopus subject areas

  • Computer Science(all)

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