A Robust Reach Set MPC Scheme for Control of AUVs

Detalhes bibliográficos
Autor(a) principal: Rui Gomes
Data de Publicação: 2018
Outros Autores: Fernando Lobo Pereira
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/115914
Resumo: A Robust Model Predictive Control (MPC) scheme for the control of formations of Autonomous Underwater Vehicles (AUVs) is presented and discussed. This application domain is extremely relevant and exhibits very difficult control challenges: (i) slow, low data-rate acoustic communications, (ii) significant perturbations inherent to the hydrodynamic environment, (iii) unexpected emergence of obstacles, and (iv) severe onboard computation constraints. While the later aspect is discussed by the Reach Set MPC scheme implementation which maximizes the a priori off-line computation as enabled by taking into account, as much as possible, invariant data, the other challenges are addressed by increasing the robustness of the proposed basic MPC scheme by considering a number of intermediate steps which, in spite of the increase of the on-line computational burden, this remains strongly lower than the one associated with typical standard MPC schemes. © Springer International Publishing AG 2018.
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spelling A Robust Reach Set MPC Scheme for Control of AUVsA Robust Model Predictive Control (MPC) scheme for the control of formations of Autonomous Underwater Vehicles (AUVs) is presented and discussed. This application domain is extremely relevant and exhibits very difficult control challenges: (i) slow, low data-rate acoustic communications, (ii) significant perturbations inherent to the hydrodynamic environment, (iii) unexpected emergence of obstacles, and (iv) severe onboard computation constraints. While the later aspect is discussed by the Reach Set MPC scheme implementation which maximizes the a priori off-line computation as enabled by taking into account, as much as possible, invariant data, the other challenges are addressed by increasing the robustness of the proposed basic MPC scheme by considering a number of intermediate steps which, in spite of the increase of the on-line computational burden, this remains strongly lower than the one associated with typical standard MPC schemes. © Springer International Publishing AG 2018.20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/115914eng10.1007/978-3-319-70836-2_18Rui GomesFernando Lobo Pereirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:39:37Zoai:repositorio-aberto.up.pt:10216/115914Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:29:01.155134Repositório 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 A Robust Reach Set MPC Scheme for Control of AUVs
title A Robust Reach Set MPC Scheme for Control of AUVs
spellingShingle A Robust Reach Set MPC Scheme for Control of AUVs
Rui Gomes
title_short A Robust Reach Set MPC Scheme for Control of AUVs
title_full A Robust Reach Set MPC Scheme for Control of AUVs
title_fullStr A Robust Reach Set MPC Scheme for Control of AUVs
title_full_unstemmed A Robust Reach Set MPC Scheme for Control of AUVs
title_sort A Robust Reach Set MPC Scheme for Control of AUVs
author Rui Gomes
author_facet Rui Gomes
Fernando Lobo Pereira
author_role author
author2 Fernando Lobo Pereira
author2_role author
dc.contributor.author.fl_str_mv Rui Gomes
Fernando Lobo Pereira
description A Robust Model Predictive Control (MPC) scheme for the control of formations of Autonomous Underwater Vehicles (AUVs) is presented and discussed. This application domain is extremely relevant and exhibits very difficult control challenges: (i) slow, low data-rate acoustic communications, (ii) significant perturbations inherent to the hydrodynamic environment, (iii) unexpected emergence of obstacles, and (iv) severe onboard computation constraints. While the later aspect is discussed by the Reach Set MPC scheme implementation which maximizes the a priori off-line computation as enabled by taking into account, as much as possible, invariant data, the other challenges are addressed by increasing the robustness of the proposed basic MPC scheme by considering a number of intermediate steps which, in spite of the increase of the on-line computational burden, this remains strongly lower than the one associated with typical standard MPC schemes. © Springer International Publishing AG 2018.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/115914
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1007/978-3-319-70836-2_18
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