Artificial macro-economics: A chaotic discrete-time fractional-order laboratory model

Yu-Ming Chu, Stelios Bekiros, Ernesto Zambrano-Serrano, Onofre Orozco-López, Salim Lahmiri, Hadi Jahanshahi and Ayman A. Aly

Chaos, Solitons & Fractals, 2021, vol. 145, issue C

Abstract: In this novel research, through dynamical analysis, we introduce for the first time a fractional-calculus based artificial macroeconomic model, actually implemented in the Laboratory via a new hardware set up. Firstly, we propose a new model of a discrete-time macroeconomic system where fractional derivatives are incorporated into the system of equations. Using well-known tools and methods, including bifurcation diagrams and Lyapunov exponents, the characteristics of the system are disclosed, and the importance of the fractional-order derivative in the modeling of the system is shown. After that, a laboratory hardware realization is also carried out for the proposed system that provides further insight and a better understanding of the properties of the system. For the hardware realization an Arduino Due™ is chosen in which possess two analog output pins. Experimental results conspicuously illustrate the chaotic behavior of the system. Through the results of the hardware realization, phase portraits and bifurcation diagram of the system are demonstrated, and the effects of the parameters and fractional derivatives are studied. We believe the presented study and its results pave the way for future studies on the incorporation of fractional calculus into macroeconomic models.

Keywords: Artificial macro-economy; Chaos; Fractional calculus; Laboratory hardware realization (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:145:y:2021:i:c:s0960077921001284

DOI: 10.1016/j.chaos.2021.110776

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