Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible

This work presents a procedure for constructing models of nonlinear dynamic systems that exhibit deterministic chaos behaviors based on time series data. The procedure involves extracting information from the time series to reconstruct the dynamic system in phase space, using second-order equations...

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Main Author: Cruz Cardozo, José Laureano
Other Authors: Gutiérrez Salamanca, Rafael María
Format: Tesis y disertaciones (Maestría y/o Doctorado)
Language:spa
Published: Universidad Antonio Nariño 2023
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Online Access:http://repositorio.uan.edu.co/handle/123456789/8353
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author Cruz Cardozo, José Laureano
author2 Gutiérrez Salamanca, Rafael María
author_facet Gutiérrez Salamanca, Rafael María
Cruz Cardozo, José Laureano
author_sort Cruz Cardozo, José Laureano
collection DSpace
description This work presents a procedure for constructing models of nonlinear dynamic systems that exhibit deterministic chaos behaviors based on time series data. The procedure involves extracting information from the time series to reconstruct the dynamic system in phase space, using second-order equations and three variables. We implemented this procedure in Python as a software and tested it on the well-known Lorenz system, extensively studied in chaos theory.
format Tesis y disertaciones (Maestría y/o Doctorado)
id repositorio.uan.edu.co-123456789-8353
institution Repositorio Digital UAN
language spa
publishDate 2023
publisher Universidad Antonio Nariño
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spelling repositorio.uan.edu.co-123456789-83532024-10-09T22:47:52Z Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible Cruz Cardozo, José Laureano Gutiérrez Salamanca, Rafael María Hernández Duarte, Andrés Ignacio Doctorado en Ciencia Aplicada 510 14.23 C957s Doctorate in Applied Sciences This work presents a procedure for constructing models of nonlinear dynamic systems that exhibit deterministic chaos behaviors based on time series data. The procedure involves extracting information from the time series to reconstruct the dynamic system in phase space, using second-order equations and three variables. We implemented this procedure in Python as a software and tested it on the well-known Lorenz system, extensively studied in chaos theory. En este trabajo se presenta un procedimiento para construir, a partir de series de tiempo, modelos de sistemas dinámicos no lineales que exhiben comportamientos de caos determinista. El procedimiento consiste en extraer información contenida en la serie de tiempo para reconstruir el sistema dinámico en el espacio de fase, utilizando ecuaciones de segundo orden y tres variables. Este procedimiento fue implementado en un software programado en Python y probado con el conocido sistema de Lorenz, el cual ha sido ampliamente estudiado en la teoría del caos. Doctor(a) en Ciencia Aplicada Doctorado Presencial Investigación 2023-08-01T17:24:44Z 2023-08-01T17:24:44Z 2023-05-29 Tesis y disertaciones (Maestría y/o Doctorado) info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_db06 http://purl.org/coar/version/c_970fb48d4fbd8a85 Tesis/Trabajo de grado - Monografía - Doctorado http://repositorio.uan.edu.co/handle/123456789/8353 Abarbanel, H. (1996). Analysis of observed chaotic data. In Physics Today (Vol. 39). https://doi.org/10.2307/1271140 Abdelkareem, M. A., Elsaid, K., Wilberforce, T., Kamil, M., Sayed, E. T., & Olabi, A. (2021). Environmental aspects of fuel cells: {A} review. Science of The Total Environment, 752, 141803. https://doi.org/10.1016/j.scitotenv.2020.141803 Barbir, F. (2013). {PEM} fuel cells: theory and practice (2nd ed). Elsevier/Academic Press. Benchouia, N. E., Derghal, A., Mahmah, B., Madi, B., Khochemane, L., & Hadjadj Aoul, E. (2015). An adaptive fuzzy logic controller (AFLC) for PEMFC fuel cell. International Journal of Hydrogen Energy, 40(39), 13806–13819. https://doi.org/10.1016/J.IJHYDENE.2015.05.189 Bressel, M., Ould Bouamama, B., Hissel, D., & Hilairet, M. (2015). A {Review} on {Graphical} {Methods} for {Modeling} a {Proton} {Exchange} {Membrane} {Fuel} {Cell}. Journal of Fuel Cell Science and Technology, 12(6), 60801. https://doi.org/10.1115/1.4032336 Brown, R., Rulkov, N. F., & Tracy, E. R. (1994). Modeling and synchronizing chaotic systems from time-series data. In Physical Review E (Vol. 49, Issue 5, pp. 3784–3800). https://doi.org/10.1103/PhysRevE.49.3784 Burkholder, M. B. (2015). Nonlinear Analysis, Control, and Modeling of the Two-Phase Flow Dynamics in Polymer Electrolyte Fuel Cells. Burkholder, M. B., Siefert, N. S., & Litster, S. (2014). Nonlinear analysis of voltage dynamics in a polymer electrolyte fuel cell due to two-phase channel flow. Journal of Power Sources, 267, 243–254. https://doi.org/10.1016/j.jpowsour.2014.04.156 Cruz, J. L., Gutiérrez, R. M., & Pastrán, C. G. (2021). Software to build dynamical systems models from time series with chaotic behavior. Journal of Physics: Conference Series, 1938(1). https://doi.org/10.1088/1742-6596/1938/1/012023 Fan, Z., Dong, S., Chi, J., Zhuang, X., & Mastorakis, N. E. (2018). A fast algorithm of correlation dimension estimation for nonlinear time series. Proceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018, 595–597. https://doi.org/10.1109/EECS.2018.00115 instname:Universidad Antonio Nariño reponame:Repositorio Institucional UAN repourl:https://repositorio.uan.edu.co/ spa Acceso abierto Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 application/pdf application/pdf application/pdf Universidad Antonio Nariño Doctorado en Ciencia Aplicada Doctorado en Ciencia Aplicada Bogotá - Circunvalar
spellingShingle Doctorado en Ciencia Aplicada
510
14.23 C957s
Doctorate in Applied Sciences
Cruz Cardozo, José Laureano
Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible
title Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible
title_full Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible
title_fullStr Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible
title_full_unstemmed Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible
title_short Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible
title_sort sistemas dinamicos no lineales a partir de series de tiempo para el analisis y control de pilas de combustible
topic Doctorado en Ciencia Aplicada
510
14.23 C957s
Doctorate in Applied Sciences
url http://repositorio.uan.edu.co/handle/123456789/8353
work_keys_str_mv AT cruzcardozojoselaureano sistemasdinamicosnolinealesapartirdeseriesdetiempoparaelanalisisycontroldepilasdecombustible
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