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New passivity criteria for neural networks with time-varying delay

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, improved criteria for the passivity of neural networks with time delay are proposed. The improvement is achieved by exploiting the finer relationships between the time-varying delay and its size bound which allow the use of more slack variables. It is illustrated via numerical examples that the proposed results are less conservative than those available in the literature.

Original languageEnglish
Pages (from-to)864-868
Number of pages5
JournalNeural Networks
Volume22
Issue number7
DOIs
StatePublished - Sep 2009

Keywords

  • Delay
  • Lyapunov
  • Neural Network
  • Passivity
  • Uncertainty

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