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Analysis and implementation of fractional-order chaotic system with standard components()

This paper is devoted to the problem of uncertainty in fractional-order Chaotic systems implemented by means of standard electronic components. The fractional order element (FOE) is typically substituted by one complex impedance network containing a huge number of discrete resistors and capacitors....

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Detalles Bibliográficos
Autores principales: Yao, Juan, Wang, Kunpeng, Huang, Pengfei, Chen, Liping, Machado, J.A. Tenreiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474204/
https://www.ncbi.nlm.nih.gov/pubmed/32922978
http://dx.doi.org/10.1016/j.jare.2020.05.008
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author Yao, Juan
Wang, Kunpeng
Huang, Pengfei
Chen, Liping
Machado, J.A. Tenreiro
author_facet Yao, Juan
Wang, Kunpeng
Huang, Pengfei
Chen, Liping
Machado, J.A. Tenreiro
author_sort Yao, Juan
collection PubMed
description This paper is devoted to the problem of uncertainty in fractional-order Chaotic systems implemented by means of standard electronic components. The fractional order element (FOE) is typically substituted by one complex impedance network containing a huge number of discrete resistors and capacitors. In order to balance the complexity and accuracy of the circuit, a sparse optimization based parameter selection method is proposed. The random error and the uncertainty of system implementation are analyzed through numerical simulations. The effectiveness of the method is verified by numerical and circuit simulations, tested experimentally with electronic circuit implementations. The simulations and experiments show that the proposed method reduces the order of circuit systems and finds a minimum number for the combination of commercially available standard components.
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spelling pubmed-74742042020-09-11 Analysis and implementation of fractional-order chaotic system with standard components() Yao, Juan Wang, Kunpeng Huang, Pengfei Chen, Liping Machado, J.A. Tenreiro J Adv Res Article This paper is devoted to the problem of uncertainty in fractional-order Chaotic systems implemented by means of standard electronic components. The fractional order element (FOE) is typically substituted by one complex impedance network containing a huge number of discrete resistors and capacitors. In order to balance the complexity and accuracy of the circuit, a sparse optimization based parameter selection method is proposed. The random error and the uncertainty of system implementation are analyzed through numerical simulations. The effectiveness of the method is verified by numerical and circuit simulations, tested experimentally with electronic circuit implementations. The simulations and experiments show that the proposed method reduces the order of circuit systems and finds a minimum number for the combination of commercially available standard components. Elsevier 2020-06-19 /pmc/articles/PMC7474204/ /pubmed/32922978 http://dx.doi.org/10.1016/j.jare.2020.05.008 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Yao, Juan
Wang, Kunpeng
Huang, Pengfei
Chen, Liping
Machado, J.A. Tenreiro
Analysis and implementation of fractional-order chaotic system with standard components()
title Analysis and implementation of fractional-order chaotic system with standard components()
title_full Analysis and implementation of fractional-order chaotic system with standard components()
title_fullStr Analysis and implementation of fractional-order chaotic system with standard components()
title_full_unstemmed Analysis and implementation of fractional-order chaotic system with standard components()
title_short Analysis and implementation of fractional-order chaotic system with standard components()
title_sort analysis and implementation of fractional-order chaotic system with standard components()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474204/
https://www.ncbi.nlm.nih.gov/pubmed/32922978
http://dx.doi.org/10.1016/j.jare.2020.05.008
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