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A Hidden Chaotic System with Multiple Attractors
This paper reports a hidden chaotic system without equilibrium point. The proposed system is studied by the software of MATLAB R2018 through several numerical methods, including Largest Lyapunov exponent, bifurcation diagram, phase diagram, Poincaré map, time-domain waveform, attractive basin and Sp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534533/ https://www.ncbi.nlm.nih.gov/pubmed/34682065 http://dx.doi.org/10.3390/e23101341 |
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author | Zhang, Xiefu Tian, Zean Li, Jian Wu, Xianming Cui, Zhongwei |
author_facet | Zhang, Xiefu Tian, Zean Li, Jian Wu, Xianming Cui, Zhongwei |
author_sort | Zhang, Xiefu |
collection | PubMed |
description | This paper reports a hidden chaotic system without equilibrium point. The proposed system is studied by the software of MATLAB R2018 through several numerical methods, including Largest Lyapunov exponent, bifurcation diagram, phase diagram, Poincaré map, time-domain waveform, attractive basin and Spectral Entropy. Seven types of attractors are found through altering the system parameters and some interesting characteristics such as coexistence attractors, controllability of chaotic attractor, hyperchaotic behavior and transition behavior are observed. Particularly, the Spectral Entropy algorithm is used to analyze the system and based on the normalized values of Spectral Entropy, the state of the studied system can be identified. Furthermore, the system has been implemented physically to verify the realizability. |
format | Online Article Text |
id | pubmed-8534533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85345332021-10-23 A Hidden Chaotic System with Multiple Attractors Zhang, Xiefu Tian, Zean Li, Jian Wu, Xianming Cui, Zhongwei Entropy (Basel) Article This paper reports a hidden chaotic system without equilibrium point. The proposed system is studied by the software of MATLAB R2018 through several numerical methods, including Largest Lyapunov exponent, bifurcation diagram, phase diagram, Poincaré map, time-domain waveform, attractive basin and Spectral Entropy. Seven types of attractors are found through altering the system parameters and some interesting characteristics such as coexistence attractors, controllability of chaotic attractor, hyperchaotic behavior and transition behavior are observed. Particularly, the Spectral Entropy algorithm is used to analyze the system and based on the normalized values of Spectral Entropy, the state of the studied system can be identified. Furthermore, the system has been implemented physically to verify the realizability. MDPI 2021-10-14 /pmc/articles/PMC8534533/ /pubmed/34682065 http://dx.doi.org/10.3390/e23101341 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Xiefu Tian, Zean Li, Jian Wu, Xianming Cui, Zhongwei A Hidden Chaotic System with Multiple Attractors |
title | A Hidden Chaotic System with Multiple Attractors |
title_full | A Hidden Chaotic System with Multiple Attractors |
title_fullStr | A Hidden Chaotic System with Multiple Attractors |
title_full_unstemmed | A Hidden Chaotic System with Multiple Attractors |
title_short | A Hidden Chaotic System with Multiple Attractors |
title_sort | hidden chaotic system with multiple attractors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534533/ https://www.ncbi.nlm.nih.gov/pubmed/34682065 http://dx.doi.org/10.3390/e23101341 |
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