Control method inspired by black hole dynamics

Detalhes bibliográficos
Autor(a) principal: Bernardo, Rodrigo Miguel Cabral
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/36923
Resumo: Within the scope of nature inspired control methods, researchers have focused their efforts on biologically-inspired control methods, disregarding the potential of nonbiological nature-inspired methods. In this work, a novel control method, inspired by a natural phenomenon, is proposed. Despite still being a preliminary work in this field, evidences were found that the proposed method has high potential to evolve and outperform already existing controllers.
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spelling Control method inspired by black hole dynamicsControl systemsFeedback controllerBlack-HoleOptimisationNon-linear systemsNature-inspiredWithin the scope of nature inspired control methods, researchers have focused their efforts on biologically-inspired control methods, disregarding the potential of nonbiological nature-inspired methods. In this work, a novel control method, inspired by a natural phenomenon, is proposed. Despite still being a preliminary work in this field, evidences were found that the proposed method has high potential to evolve and outperform already existing controllers.No âmbito dos métodos de controlo inspirados na natureza, os investigadores têm concentrado os seus esforços em métodos de controlo bio-inspirados, ignorando o potencial dos métodos inspirados na natureza não biológica. Nesta dissertação, é proposto um novo método de controlo inspirado num fenómeno natural. Apesar de ainda ser um trabalho preliminar nesta área, foram encontradas evidências de que o método proposto, tem grande potencial para evoluir e apresentar melhores desempenhos que outros controladores já existentes.2024-11-29T00:00:00Z2022-11-24T00:00:00Z2022-11-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/36923engBernardo, Rodrigo Miguel Cabralinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:11:08Zoai:ria.ua.pt:10773/36923Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:34.023356Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Control method inspired by black hole dynamics
title Control method inspired by black hole dynamics
spellingShingle Control method inspired by black hole dynamics
Bernardo, Rodrigo Miguel Cabral
Control systems
Feedback controller
Black-Hole
Optimisation
Non-linear systems
Nature-inspired
title_short Control method inspired by black hole dynamics
title_full Control method inspired by black hole dynamics
title_fullStr Control method inspired by black hole dynamics
title_full_unstemmed Control method inspired by black hole dynamics
title_sort Control method inspired by black hole dynamics
author Bernardo, Rodrigo Miguel Cabral
author_facet Bernardo, Rodrigo Miguel Cabral
author_role author
dc.contributor.author.fl_str_mv Bernardo, Rodrigo Miguel Cabral
dc.subject.por.fl_str_mv Control systems
Feedback controller
Black-Hole
Optimisation
Non-linear systems
Nature-inspired
topic Control systems
Feedback controller
Black-Hole
Optimisation
Non-linear systems
Nature-inspired
description Within the scope of nature inspired control methods, researchers have focused their efforts on biologically-inspired control methods, disregarding the potential of nonbiological nature-inspired methods. In this work, a novel control method, inspired by a natural phenomenon, is proposed. Despite still being a preliminary work in this field, evidences were found that the proposed method has high potential to evolve and outperform already existing controllers.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-24T00:00:00Z
2022-11-24
2024-11-29T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/36923
url http://hdl.handle.net/10773/36923
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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