Operator theory in dynamical network systems
gráficas, ilustraciones, tablas
- Autores:
-
Téllez Castro, Duván Andrés
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2022
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/82146
- Palabra clave:
- 000 - Ciencias de la computación, información y obras generales
620 - Ingeniería y operaciones afines
Procesamiento de datos
Análisis de sistemas
Ecuaciones
Data processing
System analysis
Equations
Data-Driven Control
Koopman Operator
Optimization
Control con datos
Operador de koopman
optimización
- Rights
- openAccess
- License
- Atribución-SinDerivadas 4.0 Internacional
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UNACIONAL2 |
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Universidad Nacional de Colombia |
repository_id_str |
|
dc.title.eng.fl_str_mv |
Operator theory in dynamical network systems |
dc.title.translated.spa.fl_str_mv |
Teoría de operadores en sistemas dinámicos en red |
title |
Operator theory in dynamical network systems |
spellingShingle |
Operator theory in dynamical network systems 000 - Ciencias de la computación, información y obras generales 620 - Ingeniería y operaciones afines Procesamiento de datos Análisis de sistemas Ecuaciones Data processing System analysis Equations Data-Driven Control Koopman Operator Optimization Control con datos Operador de koopman optimización |
title_short |
Operator theory in dynamical network systems |
title_full |
Operator theory in dynamical network systems |
title_fullStr |
Operator theory in dynamical network systems |
title_full_unstemmed |
Operator theory in dynamical network systems |
title_sort |
Operator theory in dynamical network systems |
dc.creator.fl_str_mv |
Téllez Castro, Duván Andrés |
dc.contributor.advisor.none.fl_str_mv |
Mojica Nava, Eduardo Alirio Sofrony, Jorge |
dc.contributor.author.none.fl_str_mv |
Téllez Castro, Duván Andrés |
dc.contributor.researchgroup.spa.fl_str_mv |
Programa de Investigacion sobre Adquisicion y Analisis de Señales Paas-Un |
dc.subject.ddc.spa.fl_str_mv |
000 - Ciencias de la computación, información y obras generales 620 - Ingeniería y operaciones afines |
topic |
000 - Ciencias de la computación, información y obras generales 620 - Ingeniería y operaciones afines Procesamiento de datos Análisis de sistemas Ecuaciones Data processing System analysis Equations Data-Driven Control Koopman Operator Optimization Control con datos Operador de koopman optimización |
dc.subject.lemb.spa.fl_str_mv |
Procesamiento de datos Análisis de sistemas Ecuaciones |
dc.subject.lemb.eng.fl_str_mv |
Data processing System analysis Equations |
dc.subject.proposal.eng.fl_str_mv |
Data-Driven Control Koopman Operator Optimization |
dc.subject.proposal.spa.fl_str_mv |
Control con datos Operador de koopman optimización |
description |
gráficas, ilustraciones, tablas |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2022-08-26T20:46:28Z |
dc.date.available.none.fl_str_mv |
2022-08-26T20:46:28Z |
dc.date.issued.none.fl_str_mv |
2022-08-25 |
dc.type.spa.fl_str_mv |
Trabajo de grado - Doctorado |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_db06 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TD |
format |
http://purl.org/coar/resource_type/c_db06 |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/82146 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
url |
https://repositorio.unal.edu.co/handle/unal/82146 https://repositorio.unal.edu.co/ |
identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
[1] Alvarado, Ignacio ; Limon, Daniel ; De La Pen ̃a, D M. ; Maestre, Jos ́e M. ; Ridao, MA ; Scheu, H ; Marquardt, W ; Negenborn, RR ; De Schutter, B ; Valencia, F ; Espinosa, J: A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. En: Journal of Process Control 21 (2011), Nr. 5, p. 800–815 [2] Arbabi, Hassan ; Mezic, Igor: Ergodic theory, dynamic mode decomposition, and computation of spectral properties of the Koopman operator. En: SIAM Journal on Applied Dynamical Systems 16 (2017), Nr. 4, p. 2096–2126 [3] Arrow, Kenneth J. ; Azawa, Hirofumi ; Hurwicz, Leonid ; Uzawa, Hirofumi: Studies in linear and non-linear programming. Vol. 2. First Edition. Stanford University Press, 1958 [4] Asaro, RJ ; Tiller, WA: Interface morphology development during stress corrosion cracking: Part I. Via surface diffusion. En: Metallurgical and Materials Transactions B 3 (1972), Nr. 7, p. 1789–1796 [5] Bach, Francis ; Jordan, Michael: Learning spectral clustering. En: Advances in neural information processing systems 16 (2004), Nr. 2, p. 305–312 [6] Baggio, Giacomo ; Bassett, Danielle S. ; Pasqualetti, Fabio: Data-driven control of complex networks. En: Nature communications 12 (2021), Nr. 1, p. 1–13 [7] Bakker, Craig ; Rosenthal, Steven ; Nowak, Kathleen E.: Koopman Representa- tions of Dynamic Systems with Control. En: arXiv preprint arXiv:1908.02233 (2019) [8] Baldi, Simone ; Frasca, Paolo: Adaptive synchronization of unknown heterogeneous agents: An adaptive virtual model reference approach. En: Journal of the Franklin Institute (2018). – ISSN 0016–0032 [9] Bertsekas, Dimitri ; Nedic, Angelia ; Ozdaglar, Asuman: Convex Analysis and Optimization. First Edition. Athena scientific Belmont, 2003. – ISBN 2002092168 [10] Bevanda, Petar ; Sosnowski, Stefan ; Hirche, Sandra. Koopman Operator Dynami- cal Models: Learning, Analysis and Control. 2021 [11] Bittracher, Andreas ; Koltai, P ́eter ; Klus, Stefan ; Banisch, Ralf ; Dellnitz, Michael ; Schu ̈tte, Christof: Transition manifolds of complex metastable systems. En: Journal of nonlinear science 28 (2018), Nr. 2, p. 471–512 [12] Bollt, Erik M. ; Santitissadeekorn, Naratip: Applied and computational measura- ble dynamics. First Edition. SIAM, 2013 [13] Brunton, Steven L. ; Brunton, Bingni W. ; Proctor, Joshua L. ; Kutz, J N.: Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control. En: PloS one 11 (2016), Nr. 2, p. e0150171 [14] Brunton, Steven L. ; Brunton, Bingni W. ; Proctor, Joshua L. ; Kutz, J. N.: Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control. En: PLoS ONE 11 (2016), Nr. 2. – ISSN 19326203 [15] Brunton, Steven L. ; Kutz, J N.: Methods for data-driven multiscale model discovery for materials. En: Journal of Physics: Materials 2 (2019), Nr. 4, p. 044002 [16] Budiˇsic ́, Marko ; Mohr, Ryan ; Mezic ́, Igor: Applied Koopmanism. En: Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (2012), Nr. 4, p. 047510 [17] Budiˇsic ́, Marko ; Mohr, Ryan ; Mezic ́, Igor: Applied koopmanism. En: Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (2012), Nr. 4, p. 047510 [18] Budi ̊A¡iA ̈‡, Marko ; MeziA ̈‡, Igor: An approximate parametrization of the ergodic partition using time averaged observables. En: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009, p. 3162–3168 [19] Burbano Lombana, Daniel A. ; Di Bernardo, Mario: Synchronization and lo- cal convergence analysis of networks with dynamic diffusive coupling. En: Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (2016), Nr. 11, p. 116308 [20] Cahn, John W. ; Hilliard, John E.: Free energy of a nonuniform system. I. 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En: SIAM Journal on Applied Dynamical Systems 19 (2020), Nr. 2, p. 860–885 [25] Dogra, Akshunna S. ; Redman, William: Optimizing Neural Networks via Koopman Operator Theory. En: Larochelle, H. (Ed.) ; Ranzato, M. (Ed.) ; Hadsell, R. (Ed.) ; Balcan, M. F. (Ed.) ; Lin, H. (Ed.): Advances in Neural Information Processing Systems Vol. 33, Curran Associates, Inc., 2020, p. 2087–2097 [26] Dutra, Max S. ; de Pina Filho, Armando C. ; Romano, Vitor F.: Modeling of a bipedal locomotor using coupled nonlinear oscillators of Van der Pol. En: Biological Cybernetics 88 (2003), Nr. 4, p. 286–292 [27] Ferreau, Hans J. ; Kirches, Christian ; Potschka, Andreas ; Bock, Hans G. ; Diehl, Moritz: qpOASES: A parametric active-set algorithm for quadratic program- ming. 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En: arXiv preprint arXiv:1512.05997 (2015) [43] Klus, Stefan ; Nu ̈ske, Feliks ; Peitz, Sebastian ; Niemann, Jan-Hendrik ; Clementi, Cecilia ; Schu ̈tte, Christof: Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. En: Physica D: Nonlinear Pheno- mena 406 (2020), p. 132416 [44] Klus, Stefan ; Schuster, Ingmar ; Muandet, Krikamol: Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces. En: Journal of Nonlinear Scien- ce 30 (2020), Nr. 1, p. 283–315 [45] Koopman, Bernard O.: Hamiltonian systems and transformation in Hilbert space. En: Proceedings of the national academy of sciences of the united states of america 17 (1931), Nr. 5, p. 315 [46] Korda, Milan ; Mezic ́, Igor: Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control. En: Automatica 93 (2018), p. 149–160 [47] Korda, Milan ; Mezic ́, Igor: Linear predictors for nonlinear dynamical systems: Koop- man operator meets model predictive control. En: Automatica 93 (2018), p. 149–160 [48] Korda, Milan ; MeziA ̈‡, Igor: Optimal Construction of Koopman Eigenfunctions for Prediction and Control. En: IEEE Transactions on Automatic Control 65 (2020), Nr. 12, p. 5114–5129 [49] Kose, T: Solutions of saddle value problems by differential equations. En: Econome- trica, Journal of the Econometric Society (1956), p. 59–70 [50] Kutz, J N. ; Brunton, Steven L. ; Brunton, Bingni W. ; Proctor, Joshua L.: Dynamic mode decomposition: data-driven modeling of complex systems. First Edition. SIAM, 2016 [51] Langer, James S.: Instabilities and pattern formation in crystal growth. En: Reviews of modern physics 52 (1980), Nr. 1, p. 1 [52] Lasota, Andrzej ; Mackey, Michael C.: Chaos, fractals, and noise: stochastic aspects of dynamics. Vol. 97. First Edition. 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First Edition. Springer Berlin Heidelberg, 1971 [90] Zuo, Shan ; Song, Yongduan ; Lewis, Frank L. ; Davoudi, Ali: Adaptive output containment control of heterogeneous multi-agent systems with unknown leaders. En: Automatica 92 (2018), p. 235 – 239. – ISSN 0005–1098 |
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Atribución-SinDerivadas 4.0 Internacional |
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openAccess |
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xi, 99 páginas |
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Universidad Nacional de Colombia |
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Bogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería Eléctrica |
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Departamento de Ingeniería Eléctrica y Electrónica |
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Facultad de Ingeniería |
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Bogotá, Colombia |
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Universidad Nacional de Colombia - Sede Bogotá |
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Universidad Nacional de Colombia |
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Atribución-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mojica Nava, Eduardo Alirio609c35fb4a7e288ee81a2ef0fb802397Sofrony, Jorgee0a5bffc1b8e865df36e2a58fd8a342eTéllez Castro, Duván Andrés41119cb00ab4b3c16ad1afe543e48611Programa de Investigacion sobre Adquisicion y Analisis de Señales Paas-Un2022-08-26T20:46:28Z2022-08-26T20:46:28Z2022-08-25https://repositorio.unal.edu.co/handle/unal/82146Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/gráficas, ilustraciones, tablasWe provide a data-driven synthesis framework for some complex systems. The proposed fra- mework relies on the linear operator theory involving the Koopman operator. Our first results employ Koopman-based lifting for the identification of linear models from the data both un- der the controlled and uncontrolled settings. Spectral analysis of Koopman and its adjoint Perron-Frobenius operator helps us identify the invariant structure and dominant modes for the reduced-order representation from the data. Our second result is a design methodology of a model-free and decentralized control strategy for interconnected systems. We provi- de a predictive control for decoupling the systems using the linear operator. Additionally, we address a distributed output regulation algorithm for the leader-follower heterogeneous multi-agent system with unknown leader dynamics. The leader modeling is learned through the Koopman operator and the regulator is developed using optimal control theory. Finally, we develop a technique using the Koopman operator to obtain a data-driven continuous-time optimization algorithm for solving constrained optimization problems using its connection with dynamical systems for numerical algorithms. (Text taken from source)En esta tesis proporcionamos un marco de síntesis basado en datos para algunos sistemas complejos. El marco propuesto se basa en la teoría del operador lineal que involucra al operador de Koopman. Nuestros primeros resultados emplean el espacio Koopman-lifted para la identificación de modelos lineales a partir de los datos, tanto en entornos controlados como no controlados. El análisis espectral de Koopman y su operador adjunto Perron-Frobenius nos ayuda a identificar la estructura invariante y los modos dominantes para la representación de orden reducido a partir de los datos. Nuestro segundo resultado es una metodología de diseño de una estrategia de control descentralizada y sin modelo para sistemas interconectados. Proporcionamos un control predictivo para el desacoplamiento de los sistemas mediante el operador lineal. Además, abordamos un algoritmo de regulación de salida distribuida para el sistema heterogéneo de múltiples agentes tipo líder-seguidor con una dinámica de líder desconocida. El modelo de líder se aprende a través del operador de Koopman y el regulador se desarrolla utilizando la teoría de control óptimo. Finalmente, desarrollamos una técnica utilizando el operador de Koopman para obtener un algoritmo de optimización de tiempo continuo basado en datos para resolver problemas de optimización restringida usando su conexión con sistemas dinámicos para algoritmos numéricos.DoctoradoDoctor en IngenieríaControl Distribuidoxi, 99 páginasapplication/pdfengUniversidad Nacional de ColombiaBogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería EléctricaDepartamento de Ingeniería Eléctrica y ElectrónicaFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá000 - Ciencias de la computación, información y obras generales620 - Ingeniería y operaciones afinesProcesamiento de datosAnálisis de sistemasEcuacionesData processingSystem analysisEquationsData-Driven ControlKoopman OperatorOptimizationControl con datosOperador de koopmanoptimizaciónOperator theory in dynamical network systemsTeoría de operadores en sistemas dinámicos en redTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TD[1] Alvarado, Ignacio ; Limon, Daniel ; De La Pen ̃a, D M. ; Maestre, Jos ́e M. ; Ridao, MA ; Scheu, H ; Marquardt, W ; Negenborn, RR ; De Schutter, B ; Valencia, F ; Espinosa, J: A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. 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En: Automatica 92 (2018), p. 235 – 239. – ISSN 0005–1098COLCIENCIASLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unal.edu.co/bitstream/unal/82146/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51ORIGINAL1018427055.2022.pdf1018427055.2022.pdfTesis de Doctorado en Ingeniería Eléctricaapplication/pdf3442914https://repositorio.unal.edu.co/bitstream/unal/82146/3/1018427055.2022.pdf6d158038eac203276d9483efa4a455d6MD53THUMBNAIL1018427055.2022.pdf.jpg1018427055.2022.pdf.jpgGenerated Thumbnailimage/jpeg3875https://repositorio.unal.edu.co/bitstream/unal/82146/4/1018427055.2022.pdf.jpg178347c57597d977272ba9cc56c390c1MD54unal/82146oai:repositorio.unal.edu.co:unal/821462023-08-08 23:03:58.852Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.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 |