n-Dimensional Polynomial Chaotic System With Applications

Designing high-dimensional chaotic maps with expected dynamic properties is an attractive but challenging task. The dynamic properties of a chaotic system can be reflected by the Lyapunov exponents (LEs). Using the inherent relationship between the parameters of a chaotic map and its LEs, this paper...

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Veröffentlicht in:IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2022-02, Vol.69 (2), p.784-797
Hauptverfasser: Hua, Zhongyun, Zhang, Yinxing, Bao, Han, Huang, Hejiao, Zhou, Yicong
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Sprache:eng
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Zusammenfassung:Designing high-dimensional chaotic maps with expected dynamic properties is an attractive but challenging task. The dynamic properties of a chaotic system can be reflected by the Lyapunov exponents (LEs). Using the inherent relationship between the parameters of a chaotic map and its LEs, this paper proposes an n -dimensional polynomial chaotic system ( n\text{D} -PCS) that can generate n\text{D} chaotic maps with any desired LEs. The n\text{D} -PCS is constructed from n parametric polynomials with arbitrary orders, and its parameter matrix is configured using the preliminaries in linear algebra. Theoretical analysis proves that the n\text{D} -PCS can produce high-dimensional chaotic maps with any desired LEs. To show the effects of the n\text{D} -PCS, two high-dimensional chaotic maps with hyperchaotic behaviors were generated. A microcontroller-based hardware platform was developed to implement the two chaotic maps, and the test results demonstrated the randomness properties of their chaotic signals. Performance evaluations indicate that the high-dimensional chaotic maps generated from n\text{D} -PCS have the desired LEs and more complicated dynamic behaviors compared with other high-dimensional chaotic maps. In addition, to demonstrate the applications of n\text{D} -PCS, we developed a chaos-based secure communication scheme. Simulation results show that n\text{D} -PCS has a stronger ability to resist channel noise than other high-dimensional chaotic maps.
ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2021.3117865