Control and Synchronization of a Modified Chaotic Finance System with Integer and Non-integer Orders

  • Conference paper
  • First Online:
Advances in Mathematical Modeling and Scientific Computing (ICRDM 2022)

Part of the book series: Trends in Mathematics ((TM))

Included in the following conference series:

  • 156 Accesses

Abstract

In this paper, a class of modified finance chaotic systems is constructed. The stability analysis for integer and non-integer orders is investigated, and the effective chaotic range of the integer and non-integer orders is specified by the stability theory proposed by Lyapunov. In both integer and non-integer order situations, the feedback control law has the goal to asymptotically stabilize the system’s state variables to the origin, and the synchronization of the identical modified system using adaptive control is achieved with unknown constant parameters. The numerical results demonstrate that the effect of various values of the elements in the modified system with integer and non-integer orders changes the chaotic behavior to limit cycles or stable system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (Canada)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (Canada)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lu, X.: A financial chaotic system control method based on intermittent controller. Math. Problems Eng. 2020, Article ID 5810707. https://doi.org/10.1155/2020/5810707

  2. Huang, D., Li, H.: Theory and Method of the Nonlinear Economics. Sichuan University Press, Chengdu (1993)

    Google Scholar 

  3. Dousseh, P.Y., Ainamon, C., Miwadinou, C.H., Monwanou, A.V., Orou, J.B.C.: Adaptive control of a new chaotic financial system with integer order and fractional order and its identical adaptive synchronization. Math. Problems Eng. Article ID 5512094 (2021). https://doi.org/10.1155/2021/5512094

  4. Yu, H., Cai, G. , Li, Y.: Dynamic analysis and control of a new hyperchaotic finance system. Nonlinear Dyn. 67, 2171–2182 (2012). https://doi.org/10.1007/s11071-011-0137-9

    Article  MathSciNet  Google Scholar 

  5. Dousseha, P.Y., Ainamona, C., Miwadinoua, C.H., Monwanoua, A.V., Chabi, J.B.: Chaos control and synchronization of a new chaotic financial system with https://doi.org/10.1142/S021812742150187Xh integer and fractional order. J. Nonlinear Sci. Appl. 14(6) (2021). https://doi.org/10.22436/jnsa.014.06.01

  6. Gopal, M.: Control Systems: Principles and Design. McGraw-Hill Education, India (2002)

    Google Scholar 

  7. Zheng, W., Zhang, G.: Control and Synchronization of a New Class of Finance Chaotic Systems. CONFERENCE 2019, CCDC. IEEE, Nanchang (2019). https://doi.org/10.1109/CCDC.2019.8833169

  8. Li**, C., Khan, M.A., Atangana, A., Kumar, S.: A new financial chaotic model in Atangana-Baleanu stochastic fractional differential equations. Alexandria Eng. J. 60(6), 5193–5204 (2022). https://doi.org/10.1016/j.aej.2021.04.023

    Article  Google Scholar 

  9. Danca, M.: Matlab code for Lyapunov exponents of fractional-order systems, Part II: The non-commensurate case. Int. J. Bifurcation Chaos 31(12), 2150187 (2021). https://doi.org/10.1142/S021812742150187X

    MathSciNet  Google Scholar 

  10. Kaplan, J.L., Yorke, J.A.: Preturbulence: a regime observed in a fluid flow model of Lorenz. Commun. Math. Phys. 67, 93–108 (1979)

    Article  MathSciNet  Google Scholar 

  11. **n, B., Zhang, J.: Finite-time stabilizing a fractional-order chaotic financial system with market confidence. Nonlinear Dyn. 79, 1399–1409 (2015). https://doi.org/10.1007/s11071-014-1749-7

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Moaddy, K., Mutairi, T.A. (2024). Control and Synchronization of a Modified Chaotic Finance System with Integer and Non-integer Orders. In: Kamalov, F., Sivaraj, R., Leung, HH. (eds) Advances in Mathematical Modeling and Scientific Computing. ICRDM 2022. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-41420-6_5

Download citation

Publish with us

Policies and ethics

Navigation