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dc.contributor.authorCharalambous, Charalambos D.en
dc.contributor.authorAhmed, N. U.en
dc.creatorCharalambous, Charalambos D.en
dc.creatorAhmed, N. U.en
dc.date.accessioned2019-04-08T07:45:09Z
dc.date.available2019-04-08T07:45:09Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/43032
dc.description.abstractIn this paper we derive team and Person-by-Person (PbP) optimality conditions for Itô SDEs with nonclassical information structures. The optimality conditions are given in terms of a Hamiltonian System described by coupled backward and forward SDEs and conditional Hamiltonians, conditioned on the information structures, for regular (measurable functions) and relaxed strategies (conditional distributions). © 2014 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.sourceProceedings of the IEEE Conference on Decision and Controlen
dc.sourceProceedings of the IEEE Conference on Decision and Controlen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84988299659&doi=10.1109%2fCDC.2014.7039667&partnerID=40&md5=f5bf476bba2a80ab4c83cf337f6054a6
dc.titleMaximum principle for decentralized stochastic differential decision systemsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/CDC.2014.7039667
dc.description.volume2015-Februaryen
dc.description.startingpage1846
dc.description.endingpage1851
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidCharalambous, Charalambos D. [0000-0002-2168-0231]
dc.gnosis.orcid0000-0002-2168-0231


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