Nonlinear dynamics, adaptative control and synchronization of a finance system with integer and fractional order
E.I.S. Akpado,
C.H. Miwadinou,
C. Ainamon,
A.V. Monwanou and
J.B. Chabi Orou
Chaos, Solitons & Fractals, 2026, vol. 202, issue P1
Abstract:
This work studies the complex dynamics, adaptive control and synchronization of a novel finance system. This system is a generalization of the finance system proposed by Johansyash et al. and incorporates fractional derivatives. After determining the fixed points of the novel finance system with fractional order, the study of their stability allowed finding the values of the order of the fractional derivative for which the fixed points are stable. Using Adam Bashford Moulton’s Predictor-Corrector method, the bifurcation diagram and the Lyapunov exponent are determined numerically in the commensurable and non-commensurable case. Adaptive control and chaotic synchronization are done by the adaptive method and using the Lyapunov function in the case of integer-order derivative and in the commensurable case of fractional derivative. Numerical simulations confirmed and supplemented the analytical results.
Keywords: Nonlinear dynamics; a novel finance system; Fractional order; Synchronization; Adaptative control (search for similar items in EconPapers)
Date: 2026
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925015747
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925015747
DOI: 10.1016/j.chaos.2025.117561
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().