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Fractional Halanay Inequality and Application in Neural Network Theory

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The (integer order) Halanay inequality with distributed delays is extended to the fractional order case. It is proved that solutions decay to zero as a Mittag-Leffler function as time goes to infinity provided that the delay feedback are bounded by similar functions. An application to a problem arising in neural network theory is provided showing that the equilibrium is Mittag-Leffler stable.

Original languageEnglish
Pages (from-to)1605-1618
Number of pages14
JournalActa Mathematica Scientia
Volume39
Issue number6
DOIs
StatePublished - 1 Nov 2019

Bibliographical note

Publisher Copyright:
© 2019, Wuhan Institute Physics and Mathematics, Chinese Academy of Sciences.

Keywords

  • 26A33
  • 34K37
  • 92B20
  • Caputo fractional derivative
  • Hopfield neural network
  • Mittag-Leffler stability
  • fractional Halanay inequality

ASJC Scopus subject areas

  • General Mathematics
  • General Physics and Astronomy

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