Chaos Synchronization of the Lu System Using Single-Variable Feedback
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Abstract
This paper explores a simple yet effective way to synchronize the chaotic Lü system using just one variable from the master system. Rather than relying on full-state observation or advanced nonlinear control, the method uses a straightforward linear feedback approach and takes advantage of the inherent stability in cascade-connected systems to achieve synchronization. One of the main strengths of this approach is its efficiency. By transmitting only a single state variable, it keeps communication demands low—something that’s especially helpful in real-time applications or when resources are limited. Another benefit is that the method doesn’t depend on knowing the bounds of the master system’s trajectories in advance, which makes it more flexible for systems that are unpredictable or constantly changing. The controller itself is also relatively simple to put into practice, avoiding the complexity often seen in other synchronization methods. The approach is backed by solid theoretical analysis, and simulation results using MATLAB show that it works well in practice. Overall, this method offers a lightweight and practical solution for chaos synchronization—ideal for situations where minimal data and easy implementation are key.
Manuscript received:16 Feb 2025 | Revised: 16 Apr 2025 | Accepted: 1 May 2025 | Published: 30 Jul 2025
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References
S.H. Strogatz, “Nonlinear Dynamics and Chaos,” Westview Press, 2015.
URL: https://www.google.com.my/books/edition/Nonlinear_Dynamics_and_Chaos/1wrsEAAAQBAJ (accessed 5 April, 2025)
J. Lu and G. Chen, "A new chaotic attractor coined," International Journal of Bifurcation and Chaos, vol. 12, no. 3, pp. 659–661, 2002.
DOI: https://doi.org/10.1142/S0218127402004620
L.M. Pecora and T.L. Carroll, "Synchronization in chaotic systems," Physical Review Letters, vol. 64, no. 8, pp. 821–824, 1990.
DOI: https://doi.org/10.1103/PhysRevLett.64.821
T.S. Gill, N.S. Saini and H. Kaur, "The Kadomstev–Petviashvili equation in dusty plasma with variable dust charge and two temperature ions," Chaos, Solitons & Fractals, vol. 28, no. 4, pp. 1106–1111, 2006.
DOI: https://doi.org/10.1016/j.chaos.2005.08.118
X. Yang, X. Liao, D.J. Evans and Y. Tang, "Existence and stability of periodic solution in impulsive Hopfield neural networks with finite distributed delays," Physics Letters A, vol. 343, no. 1–3, pp. 108–116, 2005.
DOI: https://doi.org/10.1016/j.physleta.2005.06.008
E. Ott, C. Grebogi and J.A. Yorke, "Controlling chaos," Physical Review Letters, vol. 64, no. 11, pp. 1196–1199, 1990.
DOI: https://doi.org/10.1103/PhysRevLett.64.1196
P. Chan, "An extension of Elmore's delay," IEEE Transactions on Circuits and Systems, vol. 33, no. 11, pp. 1147–1149, 1986.
DOI: https://doi.org/10.1109/TCS.1986.1085863
R. Mainieri and J. Rehacek, "Projective synchronization in three-dimensional chaotic systems," Physical Review Letters, vol. 82, no. 15, pp. 3042–3045, 1999.
DOI: https://doi.org/10.1103/PhysRevLett.82.3042
S. Boccaletti, J. Kurths, G. Osipov, D. Valladares and C. Zhou, "The synchronization of chaotic systems," Physics Reports, vol. 366, no. 1–2, pp. 1–101, 2002.
DOI: https://doi.org/10.1016/S0370-1573(02)00137-0
A. Ramirez-Arellano, S. Bermúdez-Gómez, L.M. Hernández-Simón and J. Bory-Reyes, "D-summable fractal dimensions of complex networks," Chaos, Solitons & Fractals, vol. 119, pp. 210–214, 2019.
DOI: https://doi.org/10.1016/j.chaos.2018.12.026
K.M. Cuomo and A.V. Oppenheim, "Circuit implementation of synchronized chaos with applications to communications," Physical Review Letters, vol. 71, no. 1, pp. 65–68, 1993.
DOI: https://doi.org/10.1103/PhysRevLett.71.65
C. Dai, J. Zhu and J. Zhang, "New exact solutions to the mKdV equation with variable coefficients," Chaos, Solitons & Fractals, vol. 27, no. 4, pp. 881–886, 2006.
DOI: https://doi.org/10.1016/j.chaos.2005.04.072
M. Baptista, "Cryptography with chaos," Physics Letters A, vol. 240, no. 1–2, pp. 50–54, 1998.
DOI: https://doi.org/10.1016/S0375-9601(98)00086-3
S. Cincotti and S.D. Stefano, "Complex dynamical behaviours in two non-linearly coupled Chua’s circuits," Chaos, Solitons & Fractals, vol. 21, no. 3, pp. 633–641, 2004.
DOI: https://doi.org/10.1016/j.chaos.2003.12.029
W. Liu, Z. Wang and W. Zhang, "Controlled synchronization of discrete-time chaotic systems under communication constraints," Nonlinear Dynamics, vol. 69, no. 1–2, pp. 223–230, 2012.
DOI: https://doi.org/10.1007/s11071-011-0259-0
V. Kumar and K.P.S. Rana, "Comparative study on fractional order PID and PID controllers on noise suppression for manipulator trajectory control," Studies in Computational Intelligence, pp. 3–28, 2017.
DOI: https://doi.org/10.1007/978-3-319-50249-6_1
G. Song, J. Lam and S. Xu, "Quantized feedback stabilization of continuous time-delay systems subject to actuator saturation," Nonlinear Analysis: Hybrid Systems, vol. 30, pp. 1–13, 2018.
DOI: https://doi.org/10.1016/j.nahs.2018.04.002
X. Wang and L. Wang, "A new perturbation method to the Tent map and its application," Chinese Physics B, vol. 20, no. 5, p. 050509, 2011.
DOI: https://doi.org/10.1088/1674-1056/20/5/050509
K. Chua, Z.Y. Lim, K.S. Sim and S.C. Tan, “Development of Brain Balancing System for Left and Right Hemispheres”, International Journal on Robotics, Automation and Sciences, vol. 3, pp. 1–7, 2021.
DOI: https://doi.org/10.33093/ijoras.2021.3.1
Q.X. Pang, “A Review on Mechanical Fuzzy Logic Control Cutters for Latex Glove”, International Journal on Robotics, Automation and Sciences, vol. 6, no. 2, pp. 76–83, 2024.
DOI: https://doi.org/10.33093/ijoras.2024.6.2.11
B. Thangavel, V. Chitra, S. Immanuel, E. Raja and W.C. Chua, “Design and Development of Automated Solar Grass Trimmer with Charge Control Circuit”, International Journal on Robotics, Automation and Sciences, vol. 6, no. 1, pp. 36–45, 2024.
DOI: https://doi.org/10.33093/ijoras.2024.6.1.6
J.H. Ang and T.S. Min, “A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System”, International Journal on Robotics, Automation and Sciences, vol. 6, no. 1, pp. 78–85, 2024.