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Control predictivo de sistemas ciberfísicos

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dc.contributor.author Maestre, José María es_ES
dc.contributor.author Chanfreut, Paula es_ES
dc.contributor.author García Martín, Javier es_ES
dc.contributor.author Masero, Eva es_ES
dc.contributor.author Inoue, Masaki es_ES
dc.contributor.author Camacho, Eduardo F. es_ES
dc.date.accessioned 2021-12-21T09:06:06Z
dc.date.available 2021-12-21T09:06:06Z
dc.date.issued 2021-12-17
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/178681
dc.description.abstract [EN] Predictive control encompasses a family of controllers that continually replan the system inputs during a certain time horizon to optimize their expected evolution according to a given criterion. This methodology has among its current challenges the adaptation to the paradigm of the so-called cyber-physical systems, which are composed of computers, sensors, actuators and physical entities of various kinds, including robots and even human beings who exchange information to control physical processes. This tutorial introduces the core concepts for the application of predictive control to cyber-physical systems by reviewing a series of examples that exploit the versatility of this design framework so as to solve the challenges presented by 21st century applications. es_ES
dc.description.abstract [ES] El control predictivo engloba a una familia de controladores que replanifican continuamente las entradas del sistema durante un cierto horizonte temporal con el fin de optimizar su evolución esperada conforme a un criterio dado. Esta metodología tiene entre sus retos actuales la adaptación al paradigma de los llamados sistemas ciberfísicos, que están compuestos por computadoras, sensores, actuadores y entidades físicas de diversa índole entre las que se incluyen robots e incluso seres humanos que intercambian información con el objetivo de controlar procesos físicos. Este tutorial presenta los conceptos centrales de la integración del control predictivo en este tipo de sistemas mediante el repaso a una serie de ejemplos que explotan la versatilidad de este marco de diseño de controladores para resolver los desafíos que presentan las aplicaciones del siglo XXI. es_ES
dc.description.sponsorship Este trabajo ha sido financiado por el European Research Council (ERC) en el marco del programa de investigación e innovación Horizonte 2020 de la Unión Europea [OCONTSOLAR, ref. 789051], por el Ministerio de Economía con el proyecto C3PO [ref. DPI2017-86918-R], por el Ministerio de Ciencia, Innovación y Universidades en el marco del programa de Formación de Profesorado Universitario (FPU) [FPU17/02653 y FPU18/04476] y por la Consejería Transformación Económica, Industria, Conocimiento y Universidades en el marco del programa de Ayudas a los agentes públicos del Sistema Andaluz del Conocimiento, para la realización de proyectos de I+D+i (PAIDI 2020) [Ampliación Aquacollect, ref. P18-HO-4713]. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Control predictivo basado en modelos es_ES
dc.subject Control de robots y sistemas multi-robot es_ES
dc.subject Sistemas ciber-físicos en control es_ES
dc.subject Interacción persona máquina en sistemas de control automático es_ES
dc.subject Control coalicional es_ES
dc.subject Model predictive control es_ES
dc.subject Robots and multi-robot systems control es_ES
dc.subject Cyber-physical systems control es_ES
dc.subject Human-machine interaction in automatic control systems es_ES
dc.subject Coalitional control es_ES
dc.title Control predictivo de sistemas ciberfísicos es_ES
dc.title.alternative Predictive Control of Cyber-Physical Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/riai.2021.15771
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/789051/EU/Optimal Control of Thermal Solar Energy Systems/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-86918-R/ES/CONTROL COALICIONAL APLICADO A LA OPTIMIZACION DE SISTEMAS CIBER-FISICOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICIU//FPU17%2F02653/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICIU//FPU18%2F04476/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Andalucía//P18-HO-4713/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Maestre, JM.; Chanfreut, P.; García Martín, J.; Masero, E.; Inoue, M.; Camacho, EF. (2021). Control predictivo de sistemas ciberfísicos. Revista Iberoamericana de Automática e Informática industrial. 19(1):1-12. https://doi.org/10.4995/riai.2021.15771 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/riai.2021.15771 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\15771 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades es_ES
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