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Discrete-time stochastic minimax control of partially observable systems

dc.contributor.authorCharalambous, Charalambos D.en
dc.creatorCharalambous, Charalambos D.en
dc.date.accessioned2019-04-08T07:45:07Z
dc.date.available2019-04-08T07:45:07Z
dc.date.issued2001
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/43018
dc.description.abstractThis paper presents a sample path optimization technique, as an alternative to the ensample average in formulating and solving stochastic minimax dynamic games. The stochastic games are nonlinear, discrete-time, and partially observable. The controlled state and observation processes are subject to non-Gaussian inputs and square-summable disturbances.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-s2.0-0035711009&partnerID=40&md5=2da3f833af6eca9ac6a44cefe2c978ab
dc.subjectProblem solvingen
dc.subjectOptimizationen
dc.subjectGame theoryen
dc.subjectProbabilityen
dc.subjectDiscrete time control systemsen
dc.subjectStochastic control systemsen
dc.subjectNonlinear control systemsen
dc.subjectPartially observable systemsen
dc.subjectStochastic minimax controlen
dc.titleDiscrete-time stochastic minimax control of partially observable systemsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume2
dc.description.startingpage1277
dc.description.endingpage1279
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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