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A New Approach on the Modelling, Chaos Control and Synchronization of a Fractional Biological Oscillator

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Date

2021

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Open Access Color

GOLD

Green Open Access

No

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Publicly Funded

No
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Top 10%
Influence
Average
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Top 10%

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Abstract

This research aims to discuss and control the chaotic behaviour of an autonomous fractional biological oscillator. Indeed, the concept of fractional calculus is used to include memory in the modelling formulation. In addition, we take into account a new auxiliary parameter in order to keep away from dimensional mismatching. Further, we explore the chaotic attractors of the considered model through its corresponding phase-portraits. Additionally, the stability and equilibrium point of the system are studied and investigated. Next, we design a feedback control scheme for the purpose of chaos control and stabilization. Afterwards, we introduce an efficient active control method to achieve synchronization between two chaotic fractional biological oscillators. The efficiency of the proposed stabilizing and synchronizing controllers is verified via theoretical analysis as well as simulations and numerical experiments.

Description

Ullah, Malik Zaka/0000-0003-2944-0352

Keywords

Fractional Model, Biological System, Chaotic Attractors, Chaos Control, Synchronization, Chaotic attractors, Biological system, QA1-939, Chaos control, Synchronization, Fractional model, Mathematics, Nonlinear oscillations and coupled oscillators for ordinary differential equations, Synchronization of solutions to ordinary differential equations, biological system, fractional model, chaotic attractors, Chaos control for problems involving ordinary differential equations, chaos control, synchronization, General biology and biomathematics

Fields of Science

0103 physical sciences, 01 natural sciences

Citation

Alshomrani, Ali Saleh; Ullah, Malik Zaka; Baleanu, Dumitru (2021). "A new approach on the modelling, chaos control and synchronization of a fractional biological oscillator", Advances in Difference Equations, Vol. 2021, No. 1.

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Q1

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OpenCitations Citation Count
10

Source

Advances in Difference Equations

Volume

2021

Issue

1

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Citations

Scopus : 16

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Mendeley Readers : 10

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1.9866

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