A research on adaptive control to stabilize and synchronize a hyperchaotic system with uncertain parameters

Authors

  • Israr Ahmad Ph. D student, School of Quantitative Sciences, UUM, Malaysia. & College of Applied Sciences, Nizwa, Oman.
  • Azizan Bin Saaban School of Quantitative Sciences, College of Arts & Sciences, UUM, Malaysia
  • Adyda Binti Ibrahim School of Quantitative Sciences, College of Arts & Sciences, UUM, Malaysia
  • Said Al-Hadhrami College of Applied Sciences Nizwa, Ministry of Higher Education, Sultanate of Oman
  • Mohammad Shahzad College of Applied Sciences Nizwa, Ministry of Higher Education, Sultanate of Oman
  • Sharifa Hilal Al-Mahrouqi College of Applied Sciences Nizwa, Ministry of Higher Education, Sultanate of Oman

DOI:

https://doi.org/10.11121/ijocta.01.2015.00238

Keywords:

Adaptive control, chaos stabilization, synchronization, Lyapunov stability theory, hyperchaotic system

Abstract

This paper addresses the chaos control and synchronization problems of a hyperchaotic system. It is assumed that the parameters of the hyperchaotic system are unknown and the system is perturbed by the external disturbance. Based on the Lyapunov stability theory and the adaptive control theory, suitable nonlinear controllers are designed for the asymptotic stability of the closed-loop system both for stabilization of hyperchaos at the origin and complete synchronization of two identical hyperchaotic systems. Accordingly, suitable update laws are proposed to estimate the fully uncertain parameters. All simulation results are carried out to validate the effectiveness of the theoretical findings. The effect of external disturbance is under our discussion.

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References

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Published

2015-06-09
CITATION
DOI: 10.11121/ijocta.01.2015.00238
Published: 2015-06-09

How to Cite

Ahmad, I., Saaban, A. B., Ibrahim, A. B., Al-Hadhrami, S., Shahzad, M., & Al-Mahrouqi, S. H. (2015). A research on adaptive control to stabilize and synchronize a hyperchaotic system with uncertain parameters. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 5(2), 51–62. https://doi.org/10.11121/ijocta.01.2015.00238

Issue

Section

Applied Mathematics & Control