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dc.contributor.authorCharalambous, C. D.en
dc.contributor.authorKyprianou, Andreasen
dc.contributor.editorC.N, Georghiadesen
dc.contributor.editorL.B, Whiteen
dc.creatorCharalambous, C. D.en
dc.creatorKyprianou, Andreasen
dc.date.accessioned2019-05-06T12:23:27Z
dc.date.available2019-05-06T12:23:27Z
dc.date.issued2005
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/48279
dc.description.abstractFifty years ago, when Claude Shannon was developing the Mathematical Theory of Communications, for reliable data transmission, which evolved into the subject of information theory, another discipline was developing dealing with Feedback Control of Dynamical System, which evolved into a scientific subject dealing with decision, stability, and optimization. More recently, a separate discipline dealing with robustness of uncertain systems was born in response to the codification of high performance and reliability in the presence of modeling uncertainties. In principle, robustness in dynamical systems is captured through power dissipation via induced norms and dynamic games, while reliable data transmission is captured through measures of information via entropy, relative entropy, and certain laws of Large Deviations theory. The main ingredient in Large Deviations is the rate functional (or action functional in the classical mechanics terminology), often identified through the Cramer or Legendre-Fenchel Transform. On the other hand, robustness of stochastic uncertain systems is currently under development, using information theoretic as well as statistical mechanics concepts, such as, partition functions, free energy, relative entropy, and entropy rate functional. This lecture will summarize certain connections between fundamental concepts of robustness, information theory, and statistical mechanics, and possibly make future projections into the convergence of these disciplines.en
dc.language.isoengen
dc.publisherAffiliation: Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprusen
dc.publisherAffiliation: Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprusen
dc.publisherAffiliation: School of Information Technology and Engineering, University of Ottawa, 161 Louis Pasteur, A519, Ottawa, Ont. K1N 6N5, Canadaen
dc.publisherCorrespondence Address: Charalambous, C.D.en
dc.publisherDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprusen
dc.publisheremail: chadcha@ucy.ac.cyen
dc.sourceProceedings of SPIE - The International Society for Optical Engineeringen
dc.subjectInformation theoryen
dc.subjectRobustnessen
dc.subjectRobustness (control systems)en
dc.subjectStochastic control systemsen
dc.subjectStochastic systemsen
dc.subjectMathematical transformationsen
dc.subjectUncertain systemsen
dc.subjectGamesen
dc.subjectData communication systemsen
dc.subjectLarge deviationen
dc.subjectLarge deviationsen
dc.subjectStatistical mechanicsen
dc.titleIs robustness of stochastic uncertain systems related to information theory and statistical mechanics?en
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1117/12.611785
dc.description.volume5847
dc.description.startingpage88
dc.description.endingpage99
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidKyprianou, Andreas [0000-0002-5037-2051]
dc.description.totalnumpages88-99


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