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dc.contributor.authorCharalambous, Charalambos D.en
dc.contributor.authorKourtellaris, C. K.en
dc.contributor.authorTzortzis, I.en
dc.creatorCharalambous, Charalambos D.en
dc.creatorKourtellaris, C. K.en
dc.creatorTzortzis, I.en
dc.date.accessioned2019-04-08T07:45:16Z
dc.date.available2019-04-08T07:45:16Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-1837-6
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/43096
dc.description.abstractWe show that stochastic dynamical control systems are capable of information transfer from control processes to output processes, with operational meaning as defined by Shannon. Moreover, we show that optimal control strategies have a dual role, specifically, i) to transfer information from the control process to the output process, and ii) to stabilize the output process. We illustrate that information transfer is feasible by considering general Gaussian Linear Decision Models, and relate it to the well-known Linear-Quadratic-Gaussian (LQG) control theory. © 2016 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.source2016 IEEE 55th Conference on Decision and Control, CDC 2016en
dc.source2016 IEEE 55th Conference on Decision and Control, CDC 2016en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010822022&doi=10.1109%2fCDC.2016.7798558&partnerID=40&md5=3b844283743626d9993e7814a4c2e40b
dc.titleInformation transfer in stochastic optimal control with randomized strategies and directed information criterionen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/CDC.2016.7798558
dc.description.startingpage2004
dc.description.endingpage2009
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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