Abstract
This study presents the findings of a new financial risk system with one absolute function and two quadratic nonlinearities. The rich dynamic behaviors of the new financial risk system are discussed analytically and numerically through stability analysis, phase portrait, bifurcation diagram, Lyapunov exponent, multistability and coexisting attractors. In addition, a new financial risk system with two quadratic nonlinearities and one absolute function shows multistability and coexistence of chaotic attractors. Using adaptive feedback control, we established a new control law for fully synchronising the proposed chaotic financial systems with itself. To conclude, some numerical simulation was presented using MATLAB to illustrate the efficiency of the designed method.
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References
Zhou, L., Chen, F.: Chaotic motion of the parametrically excited roll motion for a class of ships in regular longitudinal waves. Ocean Eng. 195, 106729 (2020)
Zhuo, P.J., Zhang, Z.X., Gou, X.F.: Chaotic motion of a magnet levitated over a superconductor. IEEE Trans. Appl. Supercond. 26, 1–6 (2016)
Bhardawaj, S., Sharma, R.C., Sharma, S.K.: Development of multibody dynamical using MR damper based semi-active bio-inspired chaotic fruit fly and fuzzy logic hybrid suspension control for rail vehicle system. Proc. Inst. Mech. Eng. Part K J. Multi-Body Dyn. 234, 723–744 (2020)
Marzbanrad, J., Keshavarzi, A.: Chaotic vibrations of a nonlinear air suspension system under consecutive half sine speed bump. Indian J. Sci. Technol. 8, 72–84 (2015)
Vaidyanathan, S., Sambas, A., Mamat, M., Sanjaya, W.S.M.: A new three-dimensional chaotic system with a hidden attractor, circuit design and application in wireless mobile robot. Arch. Control Sci. 27, 541–554 (2017)
Silvério, T., Figueiredo, G., Ferreira, R.A., André, P.S.: Walsh-coded orthogonal chaotic shift keying for key distribution in visible light communication systems. Opt. Commun. 505, 127538 (2022)
Ghosh-Dastidar, S., Adeli, H., Dadmehr, N.: Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection. IEEE Trans. Biomed. Eng. 54, 1545–1551 (2007)
Bao, B., Yang, Q., Zhu, D., Zhang, Y., Xu, Q., Chen, M.: Initial-induced coexisting and synchronous firing activities in memristor synapse-coupled Morris–Lecar bi-neuron network. Nonlinear Dyn. 99, 2339–2354 (2020)
Sambas, A., Mohammadzadeh, A., Vaidyanathan, S., Ayob, A.F.M., Aziz, A., Mohamed, M.A., Sulaiman, I.M., Nawi, M.A.A.: Investigation of chaotic behavior and adaptive type-2 fuzzy controller approach for permanent magnet synchronous generator (PMSG) wind turbine system. AIMS Math. 8, 5670–5686 (2023)
Vaidyanathan, S., Moroz, I.M., Sambas, A.: A new two-scroll 4-d hyperchaotic system with a unique saddle point equilibrium, its bifurcation analysis, circuit design and a control application to complete synchronization. Arch. Control Sci. 33(2), 277–298 (2023)
Sambas, A., Vaidyanathan, S., Zhang, X., Koyuncu, I., Bonny, T., Tuna, M., Kumam, P.: A novel 3d chaotic system with line equilibrium: multistability, integral sliding mode control, electronic circuit, FPGA implementation and its image encryption. IEEE Access 10, 68057–68074 (2022)
Zhang, X.D., Liu, X.D., Zheng, Y., Liu, C.: Chaotic dynamic behavior analysis and control for a financial risk system. Chin. Phys. B 22, 030509 (2013)
Ziyan, L., Ke, T., Qing, X., Chengrong, X., Yuhua, X.: Finite-time impulsive control of financial risk dynamic system with chaotic characteristics. Complexity 2021, 5207154 (2021)
Sukono, A., He, S., Liu, H., Vaidyanathan, S., Hidayat, Y., Saputra, J.: Dynamical analysis and adaptive fuzzy control for the fractional-order financial risk chaotic system. Adv. Differ. Equ. 2020, 674 (2020)
Wen, C., Yang, J.: Complexity evolution of chaotic financial systems based on fractional calculus. Chaos Solitons Fractals 129, 242–251 (2019)
Johansyah, M.D., Sambas, A., Mobayen, S., Vaseghi, B., Al-Azzawi, S.F., Sulaiman, I.M.: Dynamical analysis and adaptive finite-time sliding mode control approach of the financial fractional-order chaotic system. Mathematics 11, 100 (2022)
You, X., Shi, M., Guo, B., Zhu, Y., Lai, W., Dian, S., Liu, K.: Event-triggered adaptive fuzzy tracking control for a class of fractional-order uncertain nonlinear systems with external disturbance. Chaos Solitons Fractals 161, 112393 (2022)
Nguyen, Q.D., Giap, V.N., Tran, V.H., Pham, D.H., Huang, S.C.: A novel disturbance rejection method based on robust sliding mode control for the secure communication of chaos-based system. Symmetry 14, 1668 (2022)
Chaudhary, H., Khan, A., Sajid, M.: An investigation on microscopic chaos controlling of identical chemical reactor system via adaptive controlled hybrid projective synchronization. Eur. Phys. J. Spec. Top. 231, 453–463 (2022)
Qi, F., Qu, J., Chai, Y., Chen, L., Lopes, A.M.: Synchronization of incommensurate fractional-order chaotic systems based on linear feedback control. Fractal Fract. 6, 221 (2022)
El-Gohary, A., Alwasel, I.A.: The chaos and optimal control of cancer model with complete unknown parameters. Chaos Solitons Fractals 42, 2865–2874 (2009)
Yassen, M.T.: Chaos synchronization between two different chaotic systems using active control. Chaos Solitons Fractals 23, 131–140 (2005)
Sambas, A., Mamat, M., Arafa, A.A., Mahmoud, G.M., Mohamed, M.A., Sanjaya, W.S.M.: A new chaotic system with line of equilibria: dynamics, passive control and circuit design. Int J Electr Comput Eng 9, 2365–2376 (2019)
Liu, B., Sun, Z., Luo, Y., Zhong, Y.: Uniform synchronization for chaotic dynamical systems via event-triggered impulsive control. Phys. A Stat. Mech. Appl. 531, 121725 (2019)
Zhang, F., Sun, K., Chen, Y., Zhang, H., Jiang, C.: Parameters identification and adaptive tracking control of uncertain complex-variable chaotic systems with complex parameters. Nonlinear Dyn. 95, 3161–3176 (2019)
Chang, W.D.: PID control for chaotic synchronization using particle swarm optimization. Chaos Solitons Fractals 39, 910–917 (2009)
Dai, J., Cao, Y., **ao, L., Tan, H., Jia, L.: Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems. Neurocomputing 426, 299–308 (2021)
Lin, C.M., Lin, M.H., Yeh, R.G.: Synchronization of unified chaotic system via adaptive wavelet cerebellar model articulation controller. Neural Comput. Appl. 23, 965–973 (2013)
Ayati, M.: Adaptive fuzzy control of nonlinear in parameters uncertain chaotic systems using improved speed gradient method. Circuits Syst. Signal Process. 31, 911–926 (2012)
Mukhopadhyay, S., Banerjee, S.: Global optimization of an optical chaotic system by chaotic multi swarm particle swarm optimization. Expert Syst. Appl. 39, 917–924 (2012)
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This research was funded by Universitas Padjadjaran for the project financial support Research.
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Conceptualization, MDJ and AS; methodology, SV and KB; software, SV and KB; validation, IMS and AS; formal analysis, MDJ; investigation, MDJ and IMS; writing-original draft preparation, MDJ and AS; writing-review and editing, AS and SV; All authors have read and agreed to the published version of the manuscript.
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Johansyah, M.D., Sambas, A., Vaidyanathan, S. et al. Multistability Analysis and Adaptive Feedback Control on a New Financial Risk System. Int. J. Appl. Comput. Math 9, 88 (2023). https://doi.org/10.1007/s40819-023-01574-8
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DOI: https://doi.org/10.1007/s40819-023-01574-8