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The Effect of a Non-Local Fractional Operator in an Asymmetrical Glucose-Insulin Regulatory System: Analysis, Synchronization and Electronic Implementation

Jesús M. Muñoz‐Pacheco, C. Posadas–Castillo, Ernesto Zambrano-Serrano

2020Symmetry31 citationsDOIOpen Access PDF

Abstract

For studying biological conditions with higher precision, the memory characteristics defined by the fractional-order versions of living dynamical systems have been pointed out as a meaningful approach. Therefore, we analyze the dynamics of a glucose-insulin regulatory system by applying a non-local fractional operator in order to represent the memory of the underlying system, and whose state-variables define the population densities of insulin, glucose, and β-cells, respectively. We focus mainly on four parameters that are associated with different disorders (type 1 and type 2 diabetes mellitus, hypoglycemia, and hyperinsulinemia) to determine their observation ranges as a relation to the fractional-order. Like many preceding works in biosystems, the resulting analysis showed chaotic behaviors related to the fractional-order and system parameters. Subsequently, we propose an active control scheme for forcing the chaotic regime (an illness) to follow a periodic oscillatory state, i.e., a disorder-free equilibrium. Finally, we also present the electronic realization of the fractional glucose-insulin regulatory model to prove the conceptual findings.

Topics & Concepts

Operator (biology)ChaoticRealization (probability)Synchronization (alternating current)PopulationHyperinsulinemiaOrder (exchange)HypoglycemiaMathematicsForcing (mathematics)InsulinControl theory (sociology)Computer scienceApplied mathematicsTopology (electrical circuits)MedicineBiologyEndocrinologyControl (management)Artificial intelligenceMathematical analysisEconomicsInsulin resistanceStatisticsTranscription factorRepressorGeneCombinatoricsEnvironmental healthFinanceBiochemistryGene Regulatory Network AnalysisReceptor Mechanisms and SignalingPancreatic function and diabetes
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