Design and Analysis of a Novel Fractional-Order System with Hidden Dynamics, Hyperchaotic Behavior and Multi-Scroll Attractors
Fei Yu,
Shuai Xu,
Yue Lin,
Ting He,
Chaoran Wu and
Hairong Lin ()
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Fei Yu: School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Shuai Xu: School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Yue Lin: School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Ting He: School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Chaoran Wu: School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410076, China
Hairong Lin: School of Electronic Information, Central South University, Changsha 410083, China
Mathematics, 2024, vol. 12, issue 14, 1-22
Abstract:
The design of chaotic systems with complex dynamic behaviors has always been a key aspect of chaos theory in engineering applications. This study introduces a novel fractional-order system characterized by hidden dynamics, hyperchaotic behavior, and multi-scroll attractors. By employing fractional calculus, the system’s order is extended beyond integer values, providing a richer dynamic behavior. The system’s hidden dynamics are revealed through detailed numerical simulations and theoretical analysis, demonstrating complex attractors and bifurcations. The hyperchaotic nature of the system is verified through Lyapunov exponents and phase portraits, showing multiple positive exponents that indicate a higher degree of unpredictability and complexity. Additionally, the system’s multi-scroll attractors are analyzed, showcasing their potential for secure communication and encryption applications. The fractional-order approach enhances the system’s flexibility and adaptability, making it suitable for a wide range of practical uses, including secure data transmission, image encryption, and complex signal processing. Finally, based on the proposed fractional-order system, we designed a simple and efficient medical image encryption scheme and analyzed its security performance. Experimental results validate the theoretical findings, confirming the system’s robustness and effectiveness in generating complex chaotic behaviors.
Keywords: fractional-order; hidden dynamics; hyperchaos; multi-scroll attractor; memristor; FPGA (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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