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Hybrid Function Projective Synchronization of Hyperchaotic Financial Systems via Adaptive Control

Year 2024, Volume: 6 Issue: 4, 257 - 263, 30.11.2024
https://doi.org/10.51537/chaos.1552511

Abstract

In this manuscript, we establish hybrid function projective synchronization of a new hyperchaotic system using an adaptive control technique with unknown system parameters. In order to prevent either from deriving from participants in the single hyperchaotic financial system, identical master and slave systems are chosen. We design an adaptive controller to achieve global chaos synchronization between these master and slave systems. The synchronization results are based on adaptive control theory and Lyapunov stability theory. Additionally, we outline the basic dynamic characteristics of both hyperchaotic financial systems. Numerical simulations performed in Matlab validate our results excellently.

Ethical Statement

This manuscript is prepared with guidelines for conducting scientific research. The study, titled "Hybrid function projective synchronization of hyperchaotic financial systems via adaptive control" is based on theoretical and computational methods, and does not involve anything else, sensitive data, or personal information. We have ensured that all data used and presented are accurate and appropriately cited, and any errors identified will be promptly corrected. Furthermore, we are committed to sharing data and results, ensuring transparency in research practices. The authors affirm that this manuscript is their original work, has not been published elsewhere, and is not currently under consideration for publication in any other venue.

Supporting Institution

N/A

Project Number

2

Thanks

Thanks for providing the opportunity to submit our research paper to CHTA

References

  • Chen, H., L. W. Y., Yu and M. Guo, 2021 Synchronization of a hyperchaotic finance system. Complexityl p. 6618435.
  • Khan, A. and R. Prasad, 2016 Hybrid synchronization of hyperchaotic CAI systems via sliding mode control. Journal of Engineering Thermophysics 25(1): 151–157.
  • Khan, A. and Shikha., 2017 Hybrid function projective synchronization of chaotic systems via adaptive control. International Journal of Dynamics and Control 5: 1114–1121.
  • Motallebzadeh, F., M., Motlagh and Z. Cherati, 2012 Synchronization of different order chaotic systems: Adaptive active vs. optimal control. Communications in Nonlinear Science and Numerical Simulation 17(9): 3643–3657.
  • Vaidyanathan, S., 2015 Anti-synchronization of Brusselator chemical reaction systems via adaptive control. International Journal of ChemTech Research 8(6): 759–768.
  • Abd-Elouahab, H. N. E., M.S. and J. Wang, 2010 Chaos control of a fractionalorder financial system. Mathematical Problems in Engineering 2010: 270646.
  • Al-Azzawi, S and A. Hasan, 2024 A new 4D hidden hyperchaotic system with higherlargest Lyapunov exponent and its synchronization. International Journal of Mathematics Statistics and Computer Sciencel 2: 63–74.
  • Cai, G., L. H. P., Yao and X. Fang, 2013 Adaptive full state hybrid function projective synchronization of financial hyperchaotic systems with uncertain parameters. Discrete and Continuous Dynamical Systems-Series B 18(8): 2019–2028.
  • Chen and G.ed., 1999 Controlling chaos and bifurcation in engineering systems. CRC Press .
  • Chen, L., Y., Chai and R. Wu, 2011 Control and synchronization of fractional-order financial system based on linear control. Discrete Dynamics in Nature and Society 958393: 958393.
  • Chen, Y. and X. Li, 2007 Function projective synchronization between two identical chaotic systems. International journal of modern physics C 18(05): 883–888.
  • Farivar,F., M. N. M., Aliyari Shoorehdeli and M. Teshnehlab, 2012 Chaos control and modified projective synchronization of unknown heavy symmetric chaotic gyroscope systems via Gaussian radial basis adaptive backstepping control. Nonllnear Dynamics 64: 1913–1941.
  • Kareem, S.O., K., Ojo and A. Njah, 2012 Function projective synchronization of identical and nonidentical modified finance and Shimizu Morioka systems. Pramana 79: 71–79.
  • Khan, A. and S. ALi, 2024 Hamilton energy, competitive modes and ultimate bound estimation of a new3D chaotic system, and its application in chaos synchronization. Physica Scripta 99(11): 115205.
  • Koronovskii, A.A., O. S. S., Moskalenko and A. Hramov, 2013 Generalized synchronization in discrete maps. New point of view on weak and strong synchronization. Chaos, Solitons and Fractals 46: 12–18.
  • L. M. Pecora and T. L. Carroll, 1990 A new class of chaotic circuit. Pysical review lette 266: 821–824.
  • Li, S.Y., C. L. C. K. L., Yang and T. Chiu, 2012 Adaptive synchronization of chaotic systems with unknown parameters via new backstepping strate. Nonlinear Dynamics 70: 2129–2143.
  • Li, Y., S., Tong and T. Li, 2013 Adaptive fuzzy output feedback control for asinglelink flexible robot manipulator driven DC motor via backstepping. Nonlinear Analysis: Real World Applications 14(1): 483–494.
  • Li., Z. and D. Xu, 2004 A secure communication scheme using projective chaos synchronization. Chaos, Solitons and Fractals 22(2): 477–481.
  • Ma, M., J., Zhou and J. Cai, 2012 Synchronization of different order chaotic systems: Adaptive active vs. optimal controll. International Journal of Modern Physics C 23(11): 1250073.
  • Ojo, K.S.., A. O. O., Njah and M. Omeike, 2014 Generalized reducedorder hybrid combination synchronization of three Josephson junctions via backstepping technique. Nonlinear Dynamics 77: 583–595.
  • Vaidyanathan, S. and A. T. Azar, 2016 Adaptive control and synchronization of Halvorsen circulant chaotic systemsl. In Advances in chaos theory and intelligent control 337: 225–247.
  • Wu, X. and S. Li, 2012 Dynamics analysis and hybrid function projective synchronization of a new chaotic system. Nonlinear Dynamics 69: 1979–1994.
  • Zheng, Z. and G. Hu, 2000 Generalized synchronization versus phase synchronization. Physical Review E 62(6): 7882.
Year 2024, Volume: 6 Issue: 4, 257 - 263, 30.11.2024
https://doi.org/10.51537/chaos.1552511

Abstract

Project Number

2

References

  • Chen, H., L. W. Y., Yu and M. Guo, 2021 Synchronization of a hyperchaotic finance system. Complexityl p. 6618435.
  • Khan, A. and R. Prasad, 2016 Hybrid synchronization of hyperchaotic CAI systems via sliding mode control. Journal of Engineering Thermophysics 25(1): 151–157.
  • Khan, A. and Shikha., 2017 Hybrid function projective synchronization of chaotic systems via adaptive control. International Journal of Dynamics and Control 5: 1114–1121.
  • Motallebzadeh, F., M., Motlagh and Z. Cherati, 2012 Synchronization of different order chaotic systems: Adaptive active vs. optimal control. Communications in Nonlinear Science and Numerical Simulation 17(9): 3643–3657.
  • Vaidyanathan, S., 2015 Anti-synchronization of Brusselator chemical reaction systems via adaptive control. International Journal of ChemTech Research 8(6): 759–768.
  • Abd-Elouahab, H. N. E., M.S. and J. Wang, 2010 Chaos control of a fractionalorder financial system. Mathematical Problems in Engineering 2010: 270646.
  • Al-Azzawi, S and A. Hasan, 2024 A new 4D hidden hyperchaotic system with higherlargest Lyapunov exponent and its synchronization. International Journal of Mathematics Statistics and Computer Sciencel 2: 63–74.
  • Cai, G., L. H. P., Yao and X. Fang, 2013 Adaptive full state hybrid function projective synchronization of financial hyperchaotic systems with uncertain parameters. Discrete and Continuous Dynamical Systems-Series B 18(8): 2019–2028.
  • Chen and G.ed., 1999 Controlling chaos and bifurcation in engineering systems. CRC Press .
  • Chen, L., Y., Chai and R. Wu, 2011 Control and synchronization of fractional-order financial system based on linear control. Discrete Dynamics in Nature and Society 958393: 958393.
  • Chen, Y. and X. Li, 2007 Function projective synchronization between two identical chaotic systems. International journal of modern physics C 18(05): 883–888.
  • Farivar,F., M. N. M., Aliyari Shoorehdeli and M. Teshnehlab, 2012 Chaos control and modified projective synchronization of unknown heavy symmetric chaotic gyroscope systems via Gaussian radial basis adaptive backstepping control. Nonllnear Dynamics 64: 1913–1941.
  • Kareem, S.O., K., Ojo and A. Njah, 2012 Function projective synchronization of identical and nonidentical modified finance and Shimizu Morioka systems. Pramana 79: 71–79.
  • Khan, A. and S. ALi, 2024 Hamilton energy, competitive modes and ultimate bound estimation of a new3D chaotic system, and its application in chaos synchronization. Physica Scripta 99(11): 115205.
  • Koronovskii, A.A., O. S. S., Moskalenko and A. Hramov, 2013 Generalized synchronization in discrete maps. New point of view on weak and strong synchronization. Chaos, Solitons and Fractals 46: 12–18.
  • L. M. Pecora and T. L. Carroll, 1990 A new class of chaotic circuit. Pysical review lette 266: 821–824.
  • Li, S.Y., C. L. C. K. L., Yang and T. Chiu, 2012 Adaptive synchronization of chaotic systems with unknown parameters via new backstepping strate. Nonlinear Dynamics 70: 2129–2143.
  • Li, Y., S., Tong and T. Li, 2013 Adaptive fuzzy output feedback control for asinglelink flexible robot manipulator driven DC motor via backstepping. Nonlinear Analysis: Real World Applications 14(1): 483–494.
  • Li., Z. and D. Xu, 2004 A secure communication scheme using projective chaos synchronization. Chaos, Solitons and Fractals 22(2): 477–481.
  • Ma, M., J., Zhou and J. Cai, 2012 Synchronization of different order chaotic systems: Adaptive active vs. optimal controll. International Journal of Modern Physics C 23(11): 1250073.
  • Ojo, K.S.., A. O. O., Njah and M. Omeike, 2014 Generalized reducedorder hybrid combination synchronization of three Josephson junctions via backstepping technique. Nonlinear Dynamics 77: 583–595.
  • Vaidyanathan, S. and A. T. Azar, 2016 Adaptive control and synchronization of Halvorsen circulant chaotic systemsl. In Advances in chaos theory and intelligent control 337: 225–247.
  • Wu, X. and S. Li, 2012 Dynamics analysis and hybrid function projective synchronization of a new chaotic system. Nonlinear Dynamics 69: 1979–1994.
  • Zheng, Z. and G. Hu, 2000 Generalized synchronization versus phase synchronization. Physical Review E 62(6): 7882.
There are 24 citations in total.

Details

Primary Language English
Subjects Dynamical Systems in Applications
Journal Section Research Articles
Authors

Vikash . 0009-0007-7139-9732

Ayub Khan 0009-0009-5317-6855

Khursheed Alam 0000-0003-4168-3736

Project Number 2
Publication Date November 30, 2024
Submission Date September 18, 2024
Acceptance Date October 21, 2024
Published in Issue Year 2024 Volume: 6 Issue: 4

Cite

APA ., V., Khan, A., & Alam, K. (2024). Hybrid Function Projective Synchronization of Hyperchaotic Financial Systems via Adaptive Control. Chaos Theory and Applications, 6(4), 257-263. https://doi.org/10.51537/chaos.1552511

Chaos Theory and Applications in Applied Sciences and Engineering: An interdisciplinary journal of nonlinear science 23830 28903   

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