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Bifurcation Caused by Delay in a Fractional-Order Coupled Oregonator Model in Chemistry

Changjin Xu, Chaouki Aouiti, Zixin Liu, Peiluan Li, Lingyun Yao

2022match Communications in Mathematical and in Computer Chemistry18 citationsDOIOpen Access PDF

Abstract

Establishing dynamical models to characterize the relation of different chemical compositions is an important topic in chemistry and mathematics. However, a lot of dynamical models are merely concerned with the integer-order dynamical models. The report on fractional-order chemical dynamical systems is quite few. In this current article, based on the earlier publications, we establish a new fractional-order coupled Oregonator model incorporating time delay. A set of sufficient conditions which ensure the stability and the onset of Hopf bifurcation of fractional-order coupled Oregonator model incorporating time delay are derived by regarding the time delay as bifurcation parameter. The exploration manifests that time delay has a vital influence on stabilizing system and controlling bifurcation of the investigated fractional-order coupled Oregonator model. At last, Matlab simulation results are adequately displayed to corroborate the derived theoretical achievements.

Topics & Concepts

BifurcationFractional calculusStability (learning theory)Hopf bifurcationOrder (exchange)MathematicsMATLABApplied mathematicsDynamical systems theoryInteger (computer science)Statistical physicsControl theory (sociology)PhysicsNonlinear systemComputer scienceArtificial intelligenceQuantum mechanicsControl (management)Machine learningEconomicsProgramming languageFinanceOperating systemFractional Differential Equations SolutionsNonlinear Dynamics and Pattern FormationChaos control and synchronization
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