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Complex Chaotic Attractor via Fractal Transformation
Based on simplified Lorenz multiwing and Chua multiscroll chaotic systems, a rotation compound chaotic system is presented via transformation. Based on a binary fractal algorithm, a new ternary fractal algorithm is proposed. In the ternary fractal algorithm, the number of input sequences is extended...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514460/ http://dx.doi.org/10.3390/e21111115 |
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author | Dai, Shengqiu Sun, Kehui He, Shaobo Ai, Wei |
author_facet | Dai, Shengqiu Sun, Kehui He, Shaobo Ai, Wei |
author_sort | Dai, Shengqiu |
collection | PubMed |
description | Based on simplified Lorenz multiwing and Chua multiscroll chaotic systems, a rotation compound chaotic system is presented via transformation. Based on a binary fractal algorithm, a new ternary fractal algorithm is proposed. In the ternary fractal algorithm, the number of input sequences is extended from 2 to 3, which means the chaotic attractor with fractal transformation can be presented in the three-dimensional space. Taking Lorenz system, rotation Lorenz system and compound chaotic system as the seed chaotic systems, the dynamics of the complex chaotic attractors with fractal transformation are analyzed by means of bifurcation diagram, complexity and power spectrum, and the results show that the chaotic sequences with fractal transformation have higher complexity. As the experimental verification, one kind of complex chaotic attractors is implemented by DSP, and the result is consistent with that of the simulation, which verifies the feasibility of digital circuit implement. |
format | Online Article Text |
id | pubmed-7514460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75144602020-11-09 Complex Chaotic Attractor via Fractal Transformation Dai, Shengqiu Sun, Kehui He, Shaobo Ai, Wei Entropy (Basel) Article Based on simplified Lorenz multiwing and Chua multiscroll chaotic systems, a rotation compound chaotic system is presented via transformation. Based on a binary fractal algorithm, a new ternary fractal algorithm is proposed. In the ternary fractal algorithm, the number of input sequences is extended from 2 to 3, which means the chaotic attractor with fractal transformation can be presented in the three-dimensional space. Taking Lorenz system, rotation Lorenz system and compound chaotic system as the seed chaotic systems, the dynamics of the complex chaotic attractors with fractal transformation are analyzed by means of bifurcation diagram, complexity and power spectrum, and the results show that the chaotic sequences with fractal transformation have higher complexity. As the experimental verification, one kind of complex chaotic attractors is implemented by DSP, and the result is consistent with that of the simulation, which verifies the feasibility of digital circuit implement. MDPI 2019-11-14 /pmc/articles/PMC7514460/ http://dx.doi.org/10.3390/e21111115 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dai, Shengqiu Sun, Kehui He, Shaobo Ai, Wei Complex Chaotic Attractor via Fractal Transformation |
title | Complex Chaotic Attractor via Fractal Transformation |
title_full | Complex Chaotic Attractor via Fractal Transformation |
title_fullStr | Complex Chaotic Attractor via Fractal Transformation |
title_full_unstemmed | Complex Chaotic Attractor via Fractal Transformation |
title_short | Complex Chaotic Attractor via Fractal Transformation |
title_sort | complex chaotic attractor via fractal transformation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514460/ http://dx.doi.org/10.3390/e21111115 |
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