Distributed methods for resource allocation - a passivity-based approach

Since the complexity and scale of systems have been growing in the last years, distributed approaches for control and decision making are becoming more prevalent. This dissertation focuses on an important problem involving distributed control and decision making, the dynamic resource allocation in a...

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Autores:
Obando Bravo, Germán Darío
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2015
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/7669
Acceso en línea:
http://hdl.handle.net/1992/7669
Palabra clave:
Controladores programables - Investigaciones
Procesamiento electrónico de datos - Procesamiento distribuido - Investigaciones
Asignación de recursos - Investigaciones
Teoría de los juegos - Investigaciones
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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dc.title.es_CO.fl_str_mv Distributed methods for resource allocation - a passivity-based approach
title Distributed methods for resource allocation - a passivity-based approach
spellingShingle Distributed methods for resource allocation - a passivity-based approach
Controladores programables - Investigaciones
Procesamiento electrónico de datos - Procesamiento distribuido - Investigaciones
Asignación de recursos - Investigaciones
Teoría de los juegos - Investigaciones
Ingeniería
title_short Distributed methods for resource allocation - a passivity-based approach
title_full Distributed methods for resource allocation - a passivity-based approach
title_fullStr Distributed methods for resource allocation - a passivity-based approach
title_full_unstemmed Distributed methods for resource allocation - a passivity-based approach
title_sort Distributed methods for resource allocation - a passivity-based approach
dc.creator.fl_str_mv Obando Bravo, Germán Darío
dc.contributor.advisor.none.fl_str_mv Rakoto-Ravalontsalama, Naly
Loiseau, Jean Jacques
Ocampo Martínez, Carlos
Gauthier Sellier, Alain
Quijano Silva, Nicanor
dc.contributor.author.none.fl_str_mv Obando Bravo, Germán Darío
dc.subject.keyword.es_CO.fl_str_mv Controladores programables - Investigaciones
Procesamiento electrónico de datos - Procesamiento distribuido - Investigaciones
Asignación de recursos - Investigaciones
Teoría de los juegos - Investigaciones
topic Controladores programables - Investigaciones
Procesamiento electrónico de datos - Procesamiento distribuido - Investigaciones
Asignación de recursos - Investigaciones
Teoría de los juegos - Investigaciones
Ingeniería
dc.subject.themes.none.fl_str_mv Ingeniería
description Since the complexity and scale of systems have been growing in the last years, distributed approaches for control and decision making are becoming more prevalent. This dissertation focuses on an important problem involving distributed control and decision making, the dynamic resource allocation in a network. To address this problem, we explore a consensus?based algorithm that does not require any centralized computation, and that is capable to deal with applications modeled either by dynamical systems or by memoryless functions. The main contribution of our research is to prove, by means of graph theoretical tools and passivity analysis, that the proposed controller asymptotically reaches an optimal solution without the need of full information. In order to illustrate the relevance of our main result, we address several engineering applications including: distributed control for energy saving in smart buildings, management of the customers of an aggregating entity in a smart grid environment, and development of an exact distributed optimization method that deals with resource allocation problems subject to lower-bound constraints. Finally, we explore resource allocation techniques based on classic population dynamics models. In order to make them distributed, we introduce the concept of non-well-mixed population dynamics. We show that these dynamics are capable to deal with constrained information structures that are characterized by non-complete graphs. Although the proposed non-well-mixed population dynamics use partial information, they preserve similar properties of their classic counterpart, which uses full information. Specifically, we prove mass conservation and convergence to Nash equilibrium
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2018-09-27T16:35:49Z
dc.date.available.none.fl_str_mv 2018-09-27T16:35:49Z
dc.type.spa.fl_str_mv Trabajo de grado - Doctorado
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/1992/7669
dc.identifier.doi.none.fl_str_mv 10.57784/1992/7669
dc.identifier.pdf.none.fl_str_mv u714393.pdf
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dc.format.extent.es_CO.fl_str_mv 131 hojas
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dc.publisher.es_CO.fl_str_mv Uniandes
dc.publisher.program.es_CO.fl_str_mv Doctorado en Ingeniería
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rakoto-Ravalontsalama, Naly21738b95-cfb0-4212-a289-af011976f2de500Loiseau, Jean Jacques3bb16799-212b-4bb2-9096-91f2ed82233b500Ocampo Martínez, Carlosbccd40ac-5c7f-4ba8-8f3a-fa378063c9a5500Gauthier Sellier, Alaine79faeae-effd-457b-b5af-32b459fdd808400Quijano Silva, Nicanorvirtual::6894-1Obando Bravo, Germán Darío3ef7ab8c-a16c-402c-810f-463215d75d285002018-09-27T16:35:49Z2018-09-27T16:35:49Z2015http://hdl.handle.net/1992/766910.57784/1992/7669u714393.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Since the complexity and scale of systems have been growing in the last years, distributed approaches for control and decision making are becoming more prevalent. This dissertation focuses on an important problem involving distributed control and decision making, the dynamic resource allocation in a network. To address this problem, we explore a consensus?based algorithm that does not require any centralized computation, and that is capable to deal with applications modeled either by dynamical systems or by memoryless functions. The main contribution of our research is to prove, by means of graph theoretical tools and passivity analysis, that the proposed controller asymptotically reaches an optimal solution without the need of full information. In order to illustrate the relevance of our main result, we address several engineering applications including: distributed control for energy saving in smart buildings, management of the customers of an aggregating entity in a smart grid environment, and development of an exact distributed optimization method that deals with resource allocation problems subject to lower-bound constraints. Finally, we explore resource allocation techniques based on classic population dynamics models. In order to make them distributed, we introduce the concept of non-well-mixed population dynamics. We show that these dynamics are capable to deal with constrained information structures that are characterized by non-complete graphs. Although the proposed non-well-mixed population dynamics use partial information, they preserve similar properties of their classic counterpart, which uses full information. Specifically, we prove mass conservation and convergence to Nash equilibriumDoctor en IngenieríaDoctorado131 hojasapplication/pdfengUniandesDoctorado en IngenieríaFacultad de Ingenieríainstname:Universidad de los Andesreponame:Repositorio Institucional SénecaDistributed methods for resource allocation - a passivity-based approachTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesishttp://purl.org/coar/resource_type/c_db06http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TDControladores programables - InvestigacionesProcesamiento electrónico de datos - Procesamiento distribuido - InvestigacionesAsignación de recursos - InvestigacionesTeoría de los juegos - InvestigacionesIngenieríaPublicationhttps://scholar.google.es/citations?user=xu0jdYAAAAAJvirtual::6894-10000-0002-8688-3195virtual::6894-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000849669virtual::6894-1698e35fc-6e9e-4c84-8960-ae30da9bc64avirtual::6894-1698e35fc-6e9e-4c84-8960-ae30da9bc64avirtual::6894-1TEXTu714393.pdf.txtu714393.pdf.txtExtracted texttext/plain253835https://repositorio.uniandes.edu.co/bitstreams/ad0bf463-c038-4a3a-8c93-ff22a1506563/download695c341437c814c4368caedae9ab0ebbMD54THUMBNAILu714393.pdf.jpgu714393.pdf.jpgIM Thumbnailimage/jpeg5766https://repositorio.uniandes.edu.co/bitstreams/286c2194-f4e8-4bd5-8ab2-747c3b698048/download76aaaa3f7d915e9d10009d59864f1355MD55ORIGINALu714393.pdfapplication/pdf2429245https://repositorio.uniandes.edu.co/bitstreams/958cf6fc-0b0d-4b2d-8662-9f9b3eaab0f5/download03da186e5598c809fdaf88b0593a036dMD511992/7669oai:repositorio.uniandes.edu.co:1992/76692024-08-26 15:22:48.951https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co