A control systems analysis of HIV prevention model using impulsive input

Autores
Chang, H.J.; Moog, Claude; Astolfi, Alessandro; Rivadeneira Paz, Pablo Santiago
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We investigate a control systems analysis on HIV infection dynamics with regard to enhancement of theimmune response. The HIV dynamic model is modified to include the pharmacokinetics and pharma-codynamics of antiretroviral HIV drugs, and the intake of drug is considered as impulsive control input.As it is administrated at discrete time instants, we assume that this yields an impulsive control problemfor a nonlinear continuous-time system. Based on this new model, we study clinical experiments aboutantirretoviral treatments via numerical simulation and analyse the experimental results. It is noted thatthis modeling approach can help to provide a theoretical explanation of the clinical results. The analysisresult in the paper could imply that the protocol of the experiment might enhance the immune responseagainst HIV.
Fil: Chang, H.J.. Kookmin University; Corea del Sur
Fil: Moog, Claude. Centre de Recherche de Nantes; Francia
Fil: Astolfi, Alessandro. Imperial College London; Reino Unido. Universita Tor Vergata; Italia
Fil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Materia
Biological Systems
Disease Dynamics
Hiv
Control Systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/9286
Acceder
id CONICETDig_0a5594f402feb099795ee66013e0ce2e
oai_identifier_str oai:ri.conicet.gov.ar:11336/9286
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A control systems analysis of HIV prevention model using impulsive inputChang, H.J.Moog, ClaudeAstolfi, AlessandroRivadeneira Paz, Pablo SantiagoBiological SystemsDisease DynamicsHivControl Systemshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2We investigate a control systems analysis on HIV infection dynamics with regard to enhancement of theimmune response. The HIV dynamic model is modified to include the pharmacokinetics and pharma-codynamics of antiretroviral HIV drugs, and the intake of drug is considered as impulsive control input.As it is administrated at discrete time instants, we assume that this yields an impulsive control problemfor a nonlinear continuous-time system. Based on this new model, we study clinical experiments aboutantirretoviral treatments via numerical simulation and analyse the experimental results. It is noted thatthis modeling approach can help to provide a theoretical explanation of the clinical results. The analysisresult in the paper could imply that the protocol of the experiment might enhance the immune responseagainst HIV.Fil: Chang, H.J.. Kookmin University; Corea del SurFil: Moog, Claude. Centre de Recherche de Nantes; FranciaFil: Astolfi, Alessandro. Imperial College London; Reino Unido. Universita Tor Vergata; ItaliaFil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaElsevier2014-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9286Chang, H.J.; Moog, Claude; Astolfi, Alessandro; Rivadeneira Paz, Pablo Santiago; A control systems analysis of HIV prevention model using impulsive input; Elsevier; Biomedical Signal Processing And Control; 13; 5-2014; 123-1311746-8094enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.bspc.2014.03.008info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1746809414000469info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:31:26Zoai:ri.conicet.gov.ar:11336/9286instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:31:26.594CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A control systems analysis of HIV prevention model using impulsive input
title A control systems analysis of HIV prevention model using impulsive input
spellingShingle A control systems analysis of HIV prevention model using impulsive input
Chang, H.J.
Biological Systems
Disease Dynamics
Hiv
Control Systems
title_short A control systems analysis of HIV prevention model using impulsive input
title_full A control systems analysis of HIV prevention model using impulsive input
title_fullStr A control systems analysis of HIV prevention model using impulsive input
title_full_unstemmed A control systems analysis of HIV prevention model using impulsive input
title_sort A control systems analysis of HIV prevention model using impulsive input
dc.creator.none.fl_str_mv Chang, H.J.
Moog, Claude
Astolfi, Alessandro
Rivadeneira Paz, Pablo Santiago
author Chang, H.J.
author_facet Chang, H.J.
Moog, Claude
Astolfi, Alessandro
Rivadeneira Paz, Pablo Santiago
author_role author
author2 Moog, Claude
Astolfi, Alessandro
Rivadeneira Paz, Pablo Santiago
author2_role author
author
author
dc.subject.none.fl_str_mv Biological Systems
Disease Dynamics
Hiv
Control Systems
topic Biological Systems
Disease Dynamics
Hiv
Control Systems
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv We investigate a control systems analysis on HIV infection dynamics with regard to enhancement of theimmune response. The HIV dynamic model is modified to include the pharmacokinetics and pharma-codynamics of antiretroviral HIV drugs, and the intake of drug is considered as impulsive control input.As it is administrated at discrete time instants, we assume that this yields an impulsive control problemfor a nonlinear continuous-time system. Based on this new model, we study clinical experiments aboutantirretoviral treatments via numerical simulation and analyse the experimental results. It is noted thatthis modeling approach can help to provide a theoretical explanation of the clinical results. The analysisresult in the paper could imply that the protocol of the experiment might enhance the immune responseagainst HIV.
Fil: Chang, H.J.. Kookmin University; Corea del Sur
Fil: Moog, Claude. Centre de Recherche de Nantes; Francia
Fil: Astolfi, Alessandro. Imperial College London; Reino Unido. Universita Tor Vergata; Italia
Fil: Rivadeneira Paz, Pablo Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
description We investigate a control systems analysis on HIV infection dynamics with regard to enhancement of theimmune response. The HIV dynamic model is modified to include the pharmacokinetics and pharma-codynamics of antiretroviral HIV drugs, and the intake of drug is considered as impulsive control input.As it is administrated at discrete time instants, we assume that this yields an impulsive control problemfor a nonlinear continuous-time system. Based on this new model, we study clinical experiments aboutantirretoviral treatments via numerical simulation and analyse the experimental results. It is noted thatthis modeling approach can help to provide a theoretical explanation of the clinical results. The analysisresult in the paper could imply that the protocol of the experiment might enhance the immune responseagainst HIV.
publishDate 2014
dc.date.none.fl_str_mv 2014-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/9286
Chang, H.J.; Moog, Claude; Astolfi, Alessandro; Rivadeneira Paz, Pablo Santiago; A control systems analysis of HIV prevention model using impulsive input; Elsevier; Biomedical Signal Processing And Control; 13; 5-2014; 123-131
1746-8094
url http://hdl.handle.net/11336/9286
identifier_str_mv Chang, H.J.; Moog, Claude; Astolfi, Alessandro; Rivadeneira Paz, Pablo Santiago; A control systems analysis of HIV prevention model using impulsive input; Elsevier; Biomedical Signal Processing And Control; 13; 5-2014; 123-131
1746-8094
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.bspc.2014.03.008
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1746809414000469
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082798028324864
score 13.22299

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