Academic Journal

Controlled chaotic systems for secure communications: FPGA synchronization and control.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Controlled chaotic systems for secure communications: FPGA synchronization and control.
Συγγραφείς: Li, Chong, Xiao, Liwen, Yan, Minxiu
Πηγή: AIP Advances; Oct2025, Vol. 15 Issue 10, p1-21, 21p
Θεματικοί όροι: Chaos theory, Synchronization, Computer simulation, Digital electronics, Hamiltonian systems, Control theory (Engineering)
Περίληψη: To enhance secure communication efficiency, this paper proposes a novel four-dimensional single-scroll conservative chaotic system based on the Hamiltonian energy conservation theorem. A multivariate nonlinear active controller and synchronization controller are designed, with dynamic analysis revealing rich chaotic behaviors including multiple chaotic attractor-like structures, attractor-like coexistence, amplitude-modulated chaotic control, and parametric chaos. By extending equilibrium points via a segmentation function, we construct a multi-vortex system with adjustable vortex characteristics in both single and dual directions, achieving high Sample entropy. An active controller ensures state variable convergence to desired values, while a synchronization controller enables precise main system synchronization. Numerical simulations demonstrate flexible synchronization time adjustment through clock frequency tuning, outperforming software-based methods. This work advances chaotic synchronization theory and provides digital circuit solutions for secure communication. [ABSTRACT FROM AUTHOR]
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Βάση Δεδομένων: Complementary Index
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  Label: Title
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  Data: Controlled chaotic systems for secure communications: FPGA synchronization and control.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Chong%22">Li, Chong</searchLink><br /><searchLink fieldCode="AR" term="%22Xiao%2C+Liwen%22">Xiao, Liwen</searchLink><br /><searchLink fieldCode="AR" term="%22Yan%2C+Minxiu%22">Yan, Minxiu</searchLink>
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  Data: AIP Advances; Oct2025, Vol. 15 Issue 10, p1-21, 21p
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  Data: <searchLink fieldCode="DE" term="%22Chaos+theory%22">Chaos theory</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronization%22">Synchronization</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+electronics%22">Digital electronics</searchLink><br /><searchLink fieldCode="DE" term="%22Hamiltonian+systems%22">Hamiltonian systems</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink>
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  Label: Abstract
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  Data: To enhance secure communication efficiency, this paper proposes a novel four-dimensional single-scroll conservative chaotic system based on the Hamiltonian energy conservation theorem. A multivariate nonlinear active controller and synchronization controller are designed, with dynamic analysis revealing rich chaotic behaviors including multiple chaotic attractor-like structures, attractor-like coexistence, amplitude-modulated chaotic control, and parametric chaos. By extending equilibrium points via a segmentation function, we construct a multi-vortex system with adjustable vortex characteristics in both single and dual directions, achieving high Sample entropy. An active controller ensures state variable convergence to desired values, while a synchronization controller enables precise main system synchronization. Numerical simulations demonstrate flexible synchronization time adjustment through clock frequency tuning, outperforming software-based methods. This work advances chaotic synchronization theory and provides digital circuit solutions for secure communication. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of AIP Advances is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1063/5.0294167
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        Text: English
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      – SubjectFull: Control theory (Engineering)
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              Text: Oct2025
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