Publicación:
Fundamentals of the MPC approach to stop-and-go Adaptive Cruise Control

Vista sencilla de ítem
dc.contributor.authorPérez de Madrid y Pablo, Ángel
dc.contributor.authorMañoso Hierro, María Carolina
dc.contributor.authorRomero Hortelano, Miguel
dc.date.accessioned2024-05-20T12:03:14Z
dc.date.available2024-05-20T12:03:14Z
dc.date.issued2014
dc.description.abstractIn this paper we review the fundamentals of Adaptive Cruise Control / Stop-and-Go systems based on model predictive control theory. Driver’s decisions can be formulated as few very general constraints, for which the mathematical expression is derived in depth. The resulting control system can adjust a car velocity to maintain an intervehicle security distance, avoid collisions, stop and eventually accelerate, and observe other considerations such as passengers’ comfort without human intervention.en
dc.description.versionversión publicada
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12974
dc.language.isoen
dc.publisherIEEE
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congress13th International Conference on Control, Automation, Robotics and Vision (ICARCV)
dc.relation.departmentSistemas de Comunicación y Control
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject.keywordsAdaptive cruise control
dc.subject.keywordsStop-and-go
dc.subject.keywordsIntelligent vehicles
dc.subject.keywordsModel predictive control
dc.titleFundamentals of the MPC approach to stop-and-go Adaptive Cruise Controles
dc.typeconference proceedingsen
dc.typeactas de congresoes
dspace.entity.typePublication
relation.isAuthorOfPublication7ccca6a9-4164-4e45-8844-72f40d6c944d
relation.isAuthorOfPublication1fd3709e-a22f-4d56-ba3d-682448dee8c4
relation.isAuthorOfPublication680ca446-ab0c-4f58-89bb-d2b3c88b12fe
relation.isAuthorOfPublication.latestForDiscovery7ccca6a9-4164-4e45-8844-72f40d6c944d
Archivos
Colecciones
Actas y comunicaciones de congresos