Buffeting Chaotification Model for Enhancing Chaos and Its Hardware Implementation

Many shortcomings of chaos-based applications stem from the weak dynamic properties of the chaotic maps they use. To alleviate this problem, inspired by the buffeting effect in aeroelasticity, this article proposes the buffeting chaotification model (BCM). Using the especially designed buffeting and...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) Jg. 70; H. 3; S. 2916 - 2926
Hauptverfasser: Zhang, Zhiqiang, Zhu, Hong, Ban, Pengxin, Wang, Yong, Zhang, Leo Yu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Aerodynamics
Aeroelasticity
Behavioral sciences
Buffeting
Buffeting effect
Chaos theory
chaotic system
chaotification
Complexity theory
Field programmable gate arrays
field-programmable gate array (FPGA) implementation
Hardware
Liapunov exponents
Logistics
Lyapunov exponent (LE)
Orbits
Pseudorandom sequences
Space vehicles
ISSN:0278-0046, 1557-9948
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Zusammenfassung:Many shortcomings of chaos-based applications stem from the weak dynamic properties of the chaotic maps they use. To alleviate this problem, inspired by the buffeting effect in aeroelasticity, this article proposes the buffeting chaotification model (BCM). Using the especially designed buffeting and modulo operators, the BCM can generate numerous new chaotic maps with strong dynamic properties from existing one-dimensional chaotic maps. The effectiveness of the BCM is mathematically proven according to the Lyapunov exponent, and further numerical experiments confirm the superiority of the chaotic maps generated by the BCM in terms of the dynamic properties. The field-programmable gate array implementation also shows that the BCM owns simplicity in hardware devices. To investigate the practical application, a scheme for constructing the pseudorandom number generator is designed. Performance analyses indicate that our generators have a strong ability to produce high-quality pseudorandom sequences rapidly.
Bibliographie:ObjectType-Article-1
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ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2022.3174288