Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/107257
Campo DC Valoridioma
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.contributor.authorÉvora Gómez, Joséen_US
dc.contributor.authorKremers, Enriqueen_US
dc.contributor.authorSchäuble, Johannesen_US
dc.date.accessioned2021-05-21T15:57:47Z-
dc.date.available2021-05-21T15:57:47Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-905986-46-0en_US
dc.identifier.urihttp://hdl.handle.net/10553/107257-
dc.description.abstractBuilding robust and resilient systems is a major challenge for engineering. To this end, analytical indicators may be useful for man agers in making decisions. In this paper, a new analytical construct is presented: the action horizon. This construct is devoted to assisting in the control of a system when an event driving the system to its collapse is detected. This construct is useful for analysing the best moment to start executing a corrective action. In this paper, the action horizon is exper imentally evaluated in the predator-prey system and we discuss how it could help with managing power systems.en_US
dc.languageengen_US
dc.publisherLuniver Pressen_US
dc.sourceProceedings of the 2015 Workshop on Complex Systems Modelling and Simulation (CoSMoS), 20-24 July, 2015, York, UK. / S. Stepney (Ed.), p. 67-84en_US
dc.subject330799 Otras (especificar)en_US
dc.subject3306 Ingeniería y tecnología eléctricasen_US
dc.subject120702 Sistemas de controlen_US
dc.subject.otherComplex systemen_US
dc.subject.otherAction horizonen_US
dc.subject.otherControllabilityen_US
dc.subject.otherPower systemsen_US
dc.titleAction horizon: on the controllability of complex systems, moving towards management for energy systemsen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceWorkshop on Complex Systems Modelling, (CoSMoS 2015)en_US
dc.identifier.doi10.5445/IR/1000052995en_US
dc.description.lastpage84en_US
dc.description.firstpage67en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages15en_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2015en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-2427-2441-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Cabrera, José Juan-
crisitem.author.fullNameÉvora Gómez, José-
crisitem.event.eventsstartdate20-07-2015-
crisitem.event.eventsenddate24-07-2015-
Colección:Actas de congresos
miniatura
PDF
Adobe PDF (1,26 MB)
Vista resumida

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.