Human in the Loop Model Predictive Control: an Irrigation Canal Case Study

Maestre Torreblanca, José María; Overloop, Peter Jules van; Hashemy. M.; Sadowska, Anna D.; Camacho, Eduardo F.

doi:10.1109/CDC.2014.7040151

Ponencia

dc.creator	Maestre Torreblanca, José María	es
dc.creator	Overloop, Peter Jules van	es
dc.creator	Hashemy. M.	es
dc.creator	Sadowska, Anna D.	es
dc.creator	Camacho, Eduardo F.	es
dc.date.accessioned	2020-04-14T12:57:00Z
dc.date.available	2020-04-14T12:57:00Z
dc.date.issued	2014
dc.identifier.citation	Maestre Torreblanca, J.M., Overloop, P.J. v., Hashemy. M., , Sadowska, A.D. y Camacho, E.F. (2014). Human in the Loop Model Predictive Control: an Irrigation Canal Case Study. En IEEE Conference on Decision and Control (19-29), Los Angeles, CA, USA: Institute of Electrical and Electronics Engineers (IEEE).
dc.identifier.issn	0191-2216	es
dc.identifier.uri	https://hdl.handle.net/11441/95165
dc.description	53rd IEEE Conference on Decision and Control. 15-17 Dec. 2014 Los Angeles, CA, USA	es
dc.description.abstract	In this work, we propose to expand the application of model predictive control (MPC) to problems in which there are human agents involved in the sensing and actuation processes. To this end, a new configuration of a control system structure that combines centralized predictive control and local operations is presented. Additional constraints are included in the optimization problem to take into account the mobility and the role of the operators over the prediction horizon. This new type of control system structure, referred to as Mobile Model Predictive Control (MoMPC), is tested on a linear model of a large scale irrigation canal and its performance is compared to centralized MPC and manual operation.	es
dc.format	application/pdf	es
dc.format.extent	11 p.	es
dc.language.iso	eng	es
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	es
dc.relation.ispartof	IEEE Conference on Decision and Control (2014), pp. 19-29.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Model predictive control	es
dc.title	Human in the Loop Model Predictive Control: an Irrigation Canal Case Study	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática	es
dc.relation.publisherversion	https://ieeexplore.ieee.org/abstract/document/7040151	es
dc.identifier.doi	10.1109/CDC.2014.7040151	es
dc.publication.initialPage	19	es
dc.publication.endPage	29	es
dc.eventtitle	IEEE Conference on Decision and Control	es
dc.eventinstitution	Los Angeles, CA, USA	es
dc.identifier.sisius	20762183	es

Ficheros	Tamaño	Formato	Ver	Descripción
840504063938bb0dc18036bbd43d85 ...	807.6Kb	[PDF]	Ver/Abrir

Este registro aparece en las siguientes colecciones

Ponencias (Ingeniería de Sistemas y Automática)

Mostrar el registro sencillo del ítem

Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional