Dynamical Analysis and Adaptive Finite-Time Sliding Mode Control Approach of the Financial Fractional-Order Chaotic System

Muhamad Deni Johansyah (), Aceng Sambas, Saleh Mobayen, Behrouz Vaseghi, Saad Fawzi Al-Azzawi, Sukono and Ibrahim Mohammed Sulaiman
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Muhamad Deni Johansyah: Department of Mathematics, Universitas Padjadjaran, Sumedang 45363, Indonesia
Aceng Sambas: Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya 46196, Indonesia
Saleh Mobayen: Department of Electrical Engineering, Faculty of Engineering, University of Zanjan, Zanjan 45371, Iran
Behrouz Vaseghi: Department of Electrical and Computer Engineering, Abhar Branch, Islamic Azad University, Abhar 6134937333, Iran
Saad Fawzi Al-Azzawi: Department of Mathematics, University of Mosul, Mosul 00964, Iraq
Sukono: Department of Mathematics, Universitas Padjadjaran, Sumedang 45363, Indonesia
Ibrahim Mohammed Sulaiman: School of Quantitative Sciences, Universiti Utara Malaysia, Sintok 06010, Malaysia

Mathematics, 2022, vol. 11, issue 1, 1-14

Abstract: In this work, we studied the complex behaviors of the fractional-order financial chaotic system, consisting of a simple, relatively chaotic system with two quadratic nonlinearities (QN) and a sextic nonlinearity (SN). We completed and enriched the results presented in the study of Subartini et al. (2021). As a result of this, our study focused more on the fractional order and adaptive finite-time sliding mode control in the financial risk chaotic system. The dynamical behaviors of the financial chaotic system (FCS) with two QN and an SN were analyzed, and the stability was investigated via the Cardano method. The stability analysis showed that the real part of all the roots was negative, which confirmed the stability of the new system under the typical parameters. By using the MATLAB simulation, these properties were characterized, including the phase portraits, 0-1 test, Poincaré map, bifurcation diagram, and Lyapunov exponent. The analysis showed that the financial risk chaotic system of fractional order was able to exhibit chaotic behavior and periodical behavior. In spite of external perturbations and uncertainty, an adaptive finite-time sliding mode control strategy was devised to guide the states of the financial chaotic system to the origin in a finite amount of time. MATLAB phase plots were employed in this study to illustrate all the main results.

Keywords: chaos; fractional-order system; bifurcation; financial chaotic system (FCS); adaptive control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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