NMB target level tracking via an optimization based control law

Bibliographic Details
Main Author: J. Almeida
Publication Date: 2015
Other Authors: Mendonca, T, Rocha, P, L. Rodrigues
Format: Book
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/110129
Summary: In this paper a state-feedback law for the control of the neuromuscular blockade level is presented. The control law is designed based on an optimal problem that is relaxed into a semi-definite program using a change of variable. For that purpose a parsimoniously parameterized model is used to describe the patient?s response to a muscle relaxant. Due to clinical restrictions the controller action begins when the patient recovers after an initial drug bolus. The results obtained encourage the implementation of this controller in the clinical environment even in the presence of noise.
id RCAP_0d29dee2761ef9c27d95b73ecd27d39b
oai_identifier_str oai:repositorio-aberto.up.pt:10216/110129
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling NMB target level tracking via an optimization based control lawIn this paper a state-feedback law for the control of the neuromuscular blockade level is presented. The control law is designed based on an optimal problem that is relaxed into a semi-definite program using a change of variable. For that purpose a parsimoniously parameterized model is used to describe the patient?s response to a muscle relaxant. Due to clinical restrictions the controller action begins when the patient recovers after an initial drug bolus. The results obtained encourage the implementation of this controller in the clinical environment even in the presence of noise.20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/110129eng10.1016/j.ifacol.2015.10.175J. AlmeidaMendonca, TRocha, PL. Rodriguesinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T16:40:11Zoai:repositorio-aberto.up.pt:10216/110129Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:49:33.663474Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv NMB target level tracking via an optimization based control law
title NMB target level tracking via an optimization based control law
spellingShingle NMB target level tracking via an optimization based control law
J. Almeida
title_short NMB target level tracking via an optimization based control law
title_full NMB target level tracking via an optimization based control law
title_fullStr NMB target level tracking via an optimization based control law
title_full_unstemmed NMB target level tracking via an optimization based control law
title_sort NMB target level tracking via an optimization based control law
author J. Almeida
author_facet J. Almeida
Mendonca, T
Rocha, P
L. Rodrigues
author_role author
author2 Mendonca, T
Rocha, P
L. Rodrigues
author2_role author
author
author
dc.contributor.author.fl_str_mv J. Almeida
Mendonca, T
Rocha, P
L. Rodrigues
description In this paper a state-feedback law for the control of the neuromuscular blockade level is presented. The control law is designed based on an optimal problem that is relaxed into a semi-definite program using a change of variable. For that purpose a parsimoniously parameterized model is used to describe the patient?s response to a muscle relaxant. Due to clinical restrictions the controller action begins when the patient recovers after an initial drug bolus. The results obtained encourage the implementation of this controller in the clinical environment even in the presence of noise.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/110129
url https://hdl.handle.net/10216/110129
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.ifacol.2015.10.175
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833599442940329984