Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/12614 |
Resumo: | This work proposes a metric that evaluates the system's robustness based on performance, complexity, and stability. The methodology considers the system's internal dynamics and interactions with the external environment using complexity measure, also evaluates the system's ability in returning to equilibrium after an adverse situation. The proposed robustness metric application makes it possible comparisons between different resource configurations for the system under analysis. The proposed robustness metric application allows comparison between distinct resource configurations for the subject system. Three models are used for case studies: i) intensive care unit system model, ii) process scheduling system model, and iii) electric vehicle traction and braking system model. It is identified that in the scenarios with greater robustness than that recorded for the base case, the component's contribution to the metric is approximate, with performance contribution at around 30% and the complexity and stability contributions at about 35%. In scenarios with less robustness than that recorded for the base case, there is a greater variation degree in components' contribution to the robustness measure. Results indicate that the proposed metric can be used as a tool for quantitative analyses, which only consider robustness, and qualitative analyses, which consider performance, complexity, and stability together with robustness. Applying the proposed metric increases information level about the system, allowing better-reasoned decision. |
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Calixto, Wesley Pachecohttp://lattes.cnpq.br/9073478192027867Calixto, Wesley PachecoReis, Márcio Rodrigues da CunhaSilva, Alan Henrique FerreiraGomes, Viviane MargaridaCruz Junior, Gelson dahttp://lattes.cnpq.br/9175757340129330Paiva, João Ricardo Braga de2023-02-09T12:04:51Z2023-02-09T12:04:51Z2022-10-07PAIVA, J. R. B. Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema. 2022. 135 f. Tese (Doutorado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás,Goiânia, 2022.http://repositorio.bc.ufg.br/tede/handle/tede/12614ark:/38995/001300000d38cThis work proposes a metric that evaluates the system's robustness based on performance, complexity, and stability. The methodology considers the system's internal dynamics and interactions with the external environment using complexity measure, also evaluates the system's ability in returning to equilibrium after an adverse situation. The proposed robustness metric application makes it possible comparisons between different resource configurations for the system under analysis. The proposed robustness metric application allows comparison between distinct resource configurations for the subject system. Three models are used for case studies: i) intensive care unit system model, ii) process scheduling system model, and iii) electric vehicle traction and braking system model. It is identified that in the scenarios with greater robustness than that recorded for the base case, the component's contribution to the metric is approximate, with performance contribution at around 30% and the complexity and stability contributions at about 35%. In scenarios with less robustness than that recorded for the base case, there is a greater variation degree in components' contribution to the robustness measure. Results indicate that the proposed metric can be used as a tool for quantitative analyses, which only consider robustness, and qualitative analyses, which consider performance, complexity, and stability together with robustness. Applying the proposed metric increases information level about the system, allowing better-reasoned decision.Este trabalho propõe métrica que avalia a robustez do sistema com base no desempenho, complexidade e estabilidade. A metodologia considera a dinâmica interna dos sistemas e as interações com o meio externo utilizando a medida de complexidade, avalia ainda, a habilidade do sistema em retornar ao equilíbrio após situação adversa. A aplicação da métrica de robustez proposta possibilita realizar comparações entre diferentes configurações de recursos para o sistema em análise. São utilizados três modelos para estudos de caso: i) modelo do sistema de Unidade de Terapia Intensiva, ii) modelo do sistema de escalonamento de processos e iii) modelo do sistema de tração e frenagem de veículos elétricos. Identifica-se que nos cenários com maior robustez que a registrada para o caso base, a contribuição das componentes na métrica é aproximada, sendo a contribuição do desempenho cerca de 30% e as contribuições da complexidade e estabilidade cerca de 35%. Nos cenários com menor robustez que a registrada para o caso base, existe maior grau de variação da contribuição das componentes na medida de robustez. Os resultados obtidos indicam que a métrica proposta pode ser utilizada como ferramenta para análises quantitativas, que consideram apenas a robustez e análises qualitativas, que consideram desempenho, complexidade e estabilidade em conjunto com a robustez. A aplicação da métrica proposta incrementa o nível de informação sobre o sistema, permitindo decisão melhor fundamentada.Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2023-02-08T18:39:10Z No. of bitstreams: 2 Tese - João Ricardo Braga de Paiva - 2022.pdf: 1602921 bytes, checksum: a609eb720716da50909af0c9908e0186 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2023-02-09T12:04:51Z (GMT) No. of bitstreams: 2 Tese - João Ricardo Braga de Paiva - 2022.pdf: 1602921 bytes, checksum: a609eb720716da50909af0c9908e0186 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Made available in DSpace on 2023-02-09T12:04:51Z (GMT). No. of bitstreams: 2 Tese - João Ricardo Braga de Paiva - 2022.pdf: 1602921 bytes, checksum: a609eb720716da50909af0c9908e0186 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Previous issue date: 2022-10-07OutroporUniversidade Federal de GoiásPrograma de Pós-graduação em Engenharia Elétrica e da Computação (EMC)UFGBrasilEscola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRobustezDesempenhoComplexidadeEstabilidadeMétricaRobustnessPerformanceComplexityStabilityMetricENGENHARIASMétrica de robustez com base em desempenho, complexidade e estabilidade de sistemaRobustness metric based on performance, complexity and stability of systeminfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis5050050050050044845reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/3fd2995c-f220-4e4e-8738-64a28d6657ca/download4460e5956bc1d1639be9ae6146a50347MD52ORIGINALTese - João Ricardo Braga de Paiva - 2022.pdfTese - João Ricardo Braga de Paiva - 2022.pdfapplication/pdf1602921http://repositorio.bc.ufg.br/tede/bitstreams/ad44067d-ab51-4835-842f-552e4002f062/downloada609eb720716da50909af0c9908e0186MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/65ffa36b-381d-438e-b9de-e829d5303b41/download8a4605be74aa9ea9d79846c1fba20a33MD51tede/126142023-02-09 09:04:58.385http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/12614http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2023-02-09T12:04:58Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.pt_BR.fl_str_mv |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
dc.title.alternative.eng.fl_str_mv |
Robustness metric based on performance, complexity and stability of system |
title |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
spellingShingle |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema Paiva, João Ricardo Braga de Robustez Desempenho Complexidade Estabilidade Métrica Robustness Performance Complexity Stability Metric ENGENHARIAS |
title_short |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
title_full |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
title_fullStr |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
title_full_unstemmed |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
title_sort |
Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema |
author |
Paiva, João Ricardo Braga de |
author_facet |
Paiva, João Ricardo Braga de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Calixto, Wesley Pacheco |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9073478192027867 |
dc.contributor.referee1.fl_str_mv |
Calixto, Wesley Pacheco |
dc.contributor.referee2.fl_str_mv |
Reis, Márcio Rodrigues da Cunha |
dc.contributor.referee3.fl_str_mv |
Silva, Alan Henrique Ferreira |
dc.contributor.referee4.fl_str_mv |
Gomes, Viviane Margarida |
dc.contributor.referee5.fl_str_mv |
Cruz Junior, Gelson da |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9175757340129330 |
dc.contributor.author.fl_str_mv |
Paiva, João Ricardo Braga de |
contributor_str_mv |
Calixto, Wesley Pacheco Calixto, Wesley Pacheco Reis, Márcio Rodrigues da Cunha Silva, Alan Henrique Ferreira Gomes, Viviane Margarida Cruz Junior, Gelson da |
dc.subject.por.fl_str_mv |
Robustez Desempenho Complexidade Estabilidade Métrica |
topic |
Robustez Desempenho Complexidade Estabilidade Métrica Robustness Performance Complexity Stability Metric ENGENHARIAS |
dc.subject.eng.fl_str_mv |
Robustness Performance Complexity Stability Metric |
dc.subject.cnpq.fl_str_mv |
ENGENHARIAS |
description |
This work proposes a metric that evaluates the system's robustness based on performance, complexity, and stability. The methodology considers the system's internal dynamics and interactions with the external environment using complexity measure, also evaluates the system's ability in returning to equilibrium after an adverse situation. The proposed robustness metric application makes it possible comparisons between different resource configurations for the system under analysis. The proposed robustness metric application allows comparison between distinct resource configurations for the subject system. Three models are used for case studies: i) intensive care unit system model, ii) process scheduling system model, and iii) electric vehicle traction and braking system model. It is identified that in the scenarios with greater robustness than that recorded for the base case, the component's contribution to the metric is approximate, with performance contribution at around 30% and the complexity and stability contributions at about 35%. In scenarios with less robustness than that recorded for the base case, there is a greater variation degree in components' contribution to the robustness measure. Results indicate that the proposed metric can be used as a tool for quantitative analyses, which only consider robustness, and qualitative analyses, which consider performance, complexity, and stability together with robustness. Applying the proposed metric increases information level about the system, allowing better-reasoned decision. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022-10-07 |
dc.date.accessioned.fl_str_mv |
2023-02-09T12:04:51Z |
dc.date.available.fl_str_mv |
2023-02-09T12:04:51Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
PAIVA, J. R. B. Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema. 2022. 135 f. Tese (Doutorado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás,Goiânia, 2022. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/12614 |
dc.identifier.dark.fl_str_mv |
ark:/38995/001300000d38c |
identifier_str_mv |
PAIVA, J. R. B. Métrica de robustez com base em desempenho, complexidade e estabilidade de sistema. 2022. 135 f. Tese (Doutorado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás,Goiânia, 2022. ark:/38995/001300000d38c |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/12614 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
50 |
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500 500 500 500 |
dc.relation.department.fl_str_mv |
4 |
dc.relation.cnpq.fl_str_mv |
484 |
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5 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
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