LAPSE:2023.1922
Published Article
LAPSE:2023.1922
Tracking Control of a Hyperchaotic Complex System and Its Fractional-Order Generalization
Feng Liang, Lu Lu, Zhengfeng Li, Fangfang Zhang, Shuaihu Zhang
February 21, 2023
Abstract
Hyperchaotic complex behaviors often occur in nature. Some chaotic behaviors are harmful, while others are beneficial. As for harmful behaviors, we hope to transform them into expected behaviors. For beneficial behaviors, we want to enhance their chaotic characteristics. Aiming at the harmful hyperchaotic complex system, a tracking controller was designed to produce the hyperchaotic complex system track common expectation system. We selected sine function, constant, and complex Lorenz chaotic system as target systems and verified the effectiveness by mathematical proof and simulation experiments. Aiming at the beneficial hyperchaotic complex phenomenon, this paper extended the hyperchaotic complex system to the fractional order because the fractional order has more complex dynamic characteristics. The influences order change and parameter change on the evolution process of the system were analyzed and observed by MATLAB simulation.
Keywords
fractional order, hyperchaotic complex system, tracking control
Suggested Citation
Liang F, Lu L, Li Z, Zhang F, Zhang S. Tracking Control of a Hyperchaotic Complex System and Its Fractional-Order Generalization. (2023). LAPSE:2023.1922
Author Affiliations
Liang F: Department of Computer and Software Engineering, Shandong College of Electronic Technology, Jinan 250200, China; College of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University, Shandong Academy of Medical Sciences,
Lu L: College of Artificial Intelligence and Big Data for Medical Sciences, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan 250117, China
Li Z: School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Zhang F: School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China [ORCID]
Zhang S: School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Journal Name
Processes
Volume
10
Issue
7
First Page
1244
Year
2022
Publication Date
2022-06-22
ISSN
2227-9717
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Original Submission
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PII: pr10071244, Publication Type: Journal Article
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LAPSE:2023.1922
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https://doi.org/10.3390/pr10071244
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