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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, Hairong Lin

2024Mathematics25 citationsDOIOpen Access PDF

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.

Topics & Concepts

EncryptionAttractorPhase portraitChaoticLyapunov exponentRobustness (evolution)Computer scienceSecure communicationComplex dynamicsAdaptabilityScrollControl theory (sociology)Theoretical computer scienceNonlinear systemAlgorithmMathematicsArtificial intelligenceBifurcationEngineeringBiologyQuantum mechanicsChemistryGeneEcologyBiochemistryMechanical engineeringOperating systemPhysicsControl (management)Mathematical analysisChaos control and synchronizationChaos-based Image/Signal EncryptionQuantum chaos and dynamical systems
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