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Chaos control strategy for a fractional-order financial model

Changjin Xu, Chaouki Aouiti, Maoxin Liao, Peiluan Li, Zixin Liu

2020Advances in Difference Equations16 citationsDOIOpen Access PDF

Abstract

Abstract In this paper, we propose a new fractional-order financial model which is a generalized version of the financial model reported in the previous publications. By applying a suitable time-delayed feedback controller, we have control for the chaotic behavior of the fractional-order financial model. We investigate the stability and the existence of a Hopf bifurcation of the fractional-order financial model. A new sufficient condition that guarantees the stability and the existence of a Hopf bifurcation for a fractional-order delayed financial model is presented by regarding the delay as bifurcation parameter. The investigation shows that the delay and the fractional order have an important effect on the stability and Hopf bifurcation of involved model. Some simulations justifying the validity of the derived analytical results are given. The obtained results of this article are innovative and are of great significance in handling the financial issues.

Topics & Concepts

Hopf bifurcationMathematicsOrder (exchange)Fractional calculusBifurcationStability (learning theory)Ordinary differential equationApplied mathematicsController (irrigation)ChaoticControl theory (sociology)FinanceControl (management)Differential equationMathematical analysisComputer scienceEconomicsNonlinear systemPhysicsMachine learningAgronomyQuantum mechanicsBiologyArtificial intelligenceChaos control and synchronizationFractional Differential Equations SolutionsNonlinear Dynamics and Pattern Formation