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Chaos and coexisting attractors in glucose-insulin regulatory system with incommensurate fractional-order derivatives

  • University of Oum El Bouaghi
  • University of Hail

Research output: Contribution to journalReview articlepeer-review

49 Scopus citations

Abstract

Modeling glucose-insulin regulatory system plays a key role for treating diabetes, a serious health problem for numerous patients. The effect of the incommensurate fractional-order derivatives on a glucose-insulin regulatory model is studied in this work. It has been shown that the model exhibits some interesting dynamics, such as chaos and coexisting attractors, in response of a specific change in such derivatives’ values, even if it was slight. When comparing such model with some previous models, we have deduced a clear presence of wider chaotic regions once the values of these incommensurate-orders are changed.

Original languageEnglish
Article number110575
JournalChaos, Solitons and Fractals
Volume143
DOIs
StatePublished - Feb 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bifurcation
  • Chaos
  • Chaotic behavior
  • Coexisting hidden attractors
  • Incommensurate fractional-order model
  • Periodic cycles

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