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...
- Autores:
-
Cruz Cardozo, José Laureano
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2023
- Institución:
- Universidad Antonio Nariño
- Repositorio:
- Repositorio UAN
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uan.edu.co:123456789/8353
- Acceso en línea:
- http://repositorio.uan.edu.co/handle/123456789/8353
- Palabra clave:
- Doctorado en Ciencia Aplicada
510
14.23 C957s
Doctorate in Applied Sciences
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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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 |
| spellingShingle |
Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible Doctorado en Ciencia Aplicada 510 14.23 C957s Doctorate in Applied Sciences |
| title_short |
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_sort |
Sistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de Combustible |
| dc.creator.fl_str_mv |
Cruz Cardozo, José Laureano |
| dc.contributor.advisor.spa.fl_str_mv |
Gutiérrez Salamanca, Rafael María Hernández Duarte, Andrés Ignacio |
| dc.contributor.author.spa.fl_str_mv |
Cruz Cardozo, José Laureano |
| dc.subject.es_ES.fl_str_mv |
Doctorado en Ciencia Aplicada |
| topic |
Doctorado en Ciencia Aplicada 510 14.23 C957s Doctorate in Applied Sciences |
| dc.subject.ddc.es_ES.fl_str_mv |
510 14.23 C957s |
| dc.subject.keyword.es_ES.fl_str_mv |
Doctorate in Applied Sciences |
| 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. |
| publishDate |
2023 |
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2023-08-01T17:24:44Z |
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2023-08-01T17:24:44Z |
| dc.date.issued.spa.fl_str_mv |
2023-05-29 |
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Tesis y disertaciones (Maestría y/o Doctorado) |
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http://purl.org/coar/resource_type/c_db06 |
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Tesis/Trabajo de grado - Monografía - Doctorado |
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http://purl.org/coar/resource_type/c_db06 |
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http://repositorio.uan.edu.co/handle/123456789/8353 |
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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 |
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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/ |
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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Gutiérrez Salamanca, Rafael MaríaHernández Duarte, Andrés IgnacioCruz Cardozo, José Laureano130016193542023-08-01T17:24:44Z2023-08-01T17:24:44Z2023-05-29http://repositorio.uan.edu.co/handle/123456789/8353Abarbanel, H. (1996). Analysis of observed chaotic data. In Physics Today (Vol. 39). https://doi.org/10.2307/1271140Abdelkareem, 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.2020.141803Barbir, 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.2015.05.189Bressel, 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/10.1115/1.4032336Brown, 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.49.3784Burkholder, 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.2014.04.156Cruz, 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/10.1088/1742-6596/1938/1/012023Fan, 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.2018.00115instname:Universidad Antonio Nariñoreponame:Repositorio Institucional UANrepourl:https://repositorio.uan.edu.co/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 AplicadaDoctoradoPresencialInvestigaciónspaUniversidad Antonio NariñoDoctorado en Ciencia AplicadaDoctorado en Ciencia AplicadaBogotá - CircunvalarDoctorado en Ciencia Aplicada51014.23 C957sDoctorate in Applied SciencesSistemas Dinámicos No Lineales a Partir de Series de Tiempo para el Análisis y Control de Pilas de CombustibleTesis y disertaciones (Maestría y/o Doctorado)http://purl.org/coar/resource_type/c_db06http://purl.org/coar/version/c_970fb48d4fbd8a85Tesis/Trabajo de grado - Monografía - DoctoradoGeneralORIGINAL2023_JoseLaureanoCruzCardozo.pdf2023_JoseLaureanoCruzCardozo.pdfDocumento tesis de doctoradoapplication/pdf1619893https://repositorio.uan.edu.co/bitstreams/fb17a1a5-ca27-47f1-b87c-7b574488fade/download778dda7758386af02b6d49881297cc19MD512023_JoseLaureanoCruzCardozo_Autorización.pdf2023_JoseLaureanoCruzCardozo_Autorización.pdfFormato autorización publicación tesisapplication/pdf1559178https://repositorio.uan.edu.co/bitstreams/68af8859-f9c6-4bb7-8069-a2cfb0c73ad7/downloadf7a58de003dd8b7ec14f81d7bd6fd9c6MD522023_JoseLaureanoCruzCardozo_Acta.pdf2023_JoseLaureanoCruzCardozo_Acta.pdfActa de sustentación tesis doctoralapplication/pdf318519https://repositorio.uan.edu.co/bitstreams/006fe205-1386-4762-ba1a-5a564e1743f5/download342f47694e25b6b52dbe9626b7404865MD53TEXT2023_JoseLaureanoCruzCardozo.pdf.txt2023_JoseLaureanoCruzCardozo.pdf.txtExtracted texttext/plain101522https://repositorio.uan.edu.co/bitstreams/b170eea5-c208-4ca0-8105-16c5fe2396b0/download1e109b0879e301485d4429943fa5b6e3MD542023_JoseLaureanoCruzCardozo_Autorización.pdf.txt2023_JoseLaureanoCruzCardozo_Autorización.pdf.txtExtracted texttext/plain40https://repositorio.uan.edu.co/bitstreams/b94473d4-cc05-4734-91fc-720d2c9a6bd9/download22619d2d1f7502c0ee0aa77957bad69fMD562023_JoseLaureanoCruzCardozo_Acta.pdf.txt2023_JoseLaureanoCruzCardozo_Acta.pdf.txtExtracted texttext/plain1283https://repositorio.uan.edu.co/bitstreams/bfc3765b-ff74-4c80-8b81-18a43dd8c1c1/downloade6051d31e1e2677b89b77d7ceb47692bMD58THUMBNAIL2023_JoseLaureanoCruzCardozo.pdf.jpg2023_JoseLaureanoCruzCardozo.pdf.jpgGenerated Thumbnailimage/jpeg6221https://repositorio.uan.edu.co/bitstreams/c6f693da-353e-452d-97b1-699408ec8e8e/downloadfadbdccae0dfe040eddca2700c9e37f2MD552023_JoseLaureanoCruzCardozo_Autorización.pdf.jpg2023_JoseLaureanoCruzCardozo_Autorización.pdf.jpgGenerated Thumbnailimage/jpeg13219https://repositorio.uan.edu.co/bitstreams/f8f7ca2a-fde0-4907-ba96-437c0073b3f9/download260368457f1603b5666bcc50b8d4a089MD572023_JoseLaureanoCruzCardozo_Acta.pdf.jpg2023_JoseLaureanoCruzCardozo_Acta.pdf.jpgGenerated Thumbnailimage/jpeg16490https://repositorio.uan.edu.co/bitstreams/16e0ed10-669f-4e5f-b293-69ebaf79a9fb/downloadd25122a44b77d22848ff29fd5845e2d3MD59123456789/8353oai:repositorio.uan.edu.co:123456789/83532024-10-09 22:47:52.311https://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertoopen.accesshttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co |