Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems

Designing a chaotic system with infinitely many attractors is a hot topic. In this paper, multiscale multivariate permutation entropy (MMPE) and multiscale multivariate Lempel–Ziv complexity (MMLZC) are employed to analyze the complexity of those self-reproducing chaotic systems with one-d...

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Main Authors: Shaobo He, Chunbiao Li, Kehui Sun, Sajad Jafari
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/8/556
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author Shaobo He
Chunbiao Li
Kehui Sun
Sajad Jafari
author_facet Shaobo He
Chunbiao Li
Kehui Sun
Sajad Jafari
author_sort Shaobo He
collection DOAJ
description Designing a chaotic system with infinitely many attractors is a hot topic. In this paper, multiscale multivariate permutation entropy (MMPE) and multiscale multivariate Lempel–Ziv complexity (MMLZC) are employed to analyze the complexity of those self-reproducing chaotic systems with one-directional and two-directional infinitely many chaotic attractors. The analysis results show that complexity of this class of chaotic systems is determined by the initial conditions. Meanwhile, the values of MMPE are independent of the scale factor, which is different from the algorithm of MMLZC. The analysis proposed here is helpful as a reference for the application of the self-reproducing systems.
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spelling doaj.art-96f51133dfdb4d99bcd1401458bddb7a2022-12-22T04:23:32ZengMDPI AGEntropy1099-43002018-07-0120855610.3390/e20080556e20080556Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic SystemsShaobo He0Chunbiao Li1Kehui Sun2Sajad Jafari3School of Physics and Electronics, Central South University, Changsha 410083, ChinaJiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaSchool of Physics and Electronics, Central South University, Changsha 410083, ChinaDepartment of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Ave., Tehran 15875-4413, IranDesigning a chaotic system with infinitely many attractors is a hot topic. In this paper, multiscale multivariate permutation entropy (MMPE) and multiscale multivariate Lempel–Ziv complexity (MMLZC) are employed to analyze the complexity of those self-reproducing chaotic systems with one-directional and two-directional infinitely many chaotic attractors. The analysis results show that complexity of this class of chaotic systems is determined by the initial conditions. Meanwhile, the values of MMPE are independent of the scale factor, which is different from the algorithm of MMLZC. The analysis proposed here is helpful as a reference for the application of the self-reproducing systems.http://www.mdpi.com/1099-4300/20/8/556multiscale multivariate entropymultistabilityself-reproducing systemchaos
spellingShingle Shaobo He
Chunbiao Li
Kehui Sun
Sajad Jafari
Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems
Entropy
multiscale multivariate entropy
multistability
self-reproducing system
chaos
title Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems
title_full Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems
title_fullStr Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems
title_full_unstemmed Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems
title_short Multivariate Multiscale Complexity Analysis of Self-Reproducing Chaotic Systems
title_sort multivariate multiscale complexity analysis of self reproducing chaotic systems
topic multiscale multivariate entropy
multistability
self-reproducing system
chaos
url http://www.mdpi.com/1099-4300/20/8/556
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