The characteristics study of a bounded fractional-order chaotic system: Complexity, and energy control

The dynamics of a four-dimensional fractional-order (FO) dynamical system from the viewpoint of spectral entropy (SE), C 0 complexity, and algorithm 0–1 are presented in detail in this article. The efficiency of these algorithms in the existence of chaos for FO systems has been investigated as well as other methods such as Lyapunov exponents, Lyapunov dimension, and bifurcation diagrams. With Hamilton’s energy analysis for the 4D FO system, it is found that chaotic behavior is more dependent on energy consumption. Therefore, it is necessary to design a negative feedback control to reduce energy consumption and suppress chaotic behavior. Finally, we obtain the global Mittag-Leffler positive invariant sets (GMLPISs) and global Mittag-Leffler attractive sets (GMLASs) of the introduced system. Numerical results indicate the effectiveness of complexity and chaos detection methods as well as bound calculation.

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Publication Details

Journal
Alexandria Engineering Journal
Published
2024-10-31
DOI
https://doi.org/10.1016/j.aej.2024.10.038
Citations
4
Primary Topic
Chaos control and synchronization
Type
article
Field-Weighted Citation Impact
1.12

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article

The characteristics study of a bounded fractional-order chaotic system: Complexity, and energy control

Hassan Saberi Nik, Jan Awrejcewicz, Miao Li, Qingzhe Wu et al.
4 citations
Alexandria Engineering Journal
Chaos control and synchronization
1.12
article

The characteristics study of a bounded fractional-order chaotic system: Complexity, and energy control

Hassan Saberi Nik, Jan Awrejcewicz, Miao Li, Qingzhe Wu, Juling Zhang
article en
4 citations

Abstract

The dynamics of a four-dimensional fractional-order (FO) dynamical system from the viewpoint of spectral entropy (SE), C 0 complexity, and algorithm 0–1 are presented in detail in this article. The efficiency of these algorithms in the existence of chaos for FO systems has been investigated as well as other methods such as Lyapunov exponents, Lyapunov dimension, and bifurcation diagrams. With Hamilton’s energy analysis for the 4D FO system, it is found that chaotic behavior is more dependent on energy consumption. Therefore, it is necessary to design a negative feedback control to reduce energy consumption and suppress chaotic behavior. Finally, we obtain the global Mittag-Leffler positive invariant sets (GMLPISs) and global Mittag-Leffler attractive sets (GMLASs) of the introduced system. Numerical results indicate the effectiveness of complexity and chaos detection methods as well as bound calculation.

Alexandria Engineering JournalVol. 111
University of Neyshabur (IR), Lodz University of Technology (PL), Shenyang Normal University (CN)
Department of Education of Liaoning Province
Affordable and clean energy
Openalex Percentile: Top 23%
Chaos control and synchronization
1.12
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