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dc.contributor.authorCharalambous, Charalambos D.en
dc.contributor.authorRezaei, F.en
dc.contributor.authorKyprianou, Andreasen
dc.creatorCharalambous, Charalambos D.en
dc.creatorRezaei, F.en
dc.creatorKyprianou, Andreasen
dc.date.accessioned2019-05-06T12:23:27Z
dc.date.available2019-05-06T12:23:27Z
dc.date.issued2004
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/48284
dc.description.abstractThe fundamental question, which will be addressed in this talk are the relations between dissipation, which is a concept of robustness, entropy rate, which is a concept of information theory, and statistical mechanics. Dissipation is a concept which is used in the theory and applications of robustness of filtering and control of uncertain systems. In thermodynamics, when a system is not in equilibrium with its surroundings there exists a potential of producing useful work. Dissipation is the part of this potential that is not tranformable to useful work. On the other hand, entropy is fundamental concept on which information theory and in general telecommunication systems are founded on. Entropy rate is a macroscopic property of thermodynamic systems, that quantifies dissipation through the Clausius inequality and irreversible processes. In addition entropy measures the number of microstates, different configurations of the phase space, that correspond to a thermodynamic macrostate of certain entropy value. In this presentation statistical mechanics concepts will be used to bring about the close relationship between entropy and dissipation and in particular, the implication of this relationship, in computing the induced norm associated with disturbance attenuation problems.en
dc.language.isoengen
dc.publisherAffiliation: Sch. of Info. Technol. and Eng., University of Ottawa, 161 Louis Pasteur, A519, Ottawa, Ont. K1N 6N5, Canadaen
dc.publisherAffiliation: Electrical Engineering Department, University of Cyprus, 75 Kallipoleos Avenue, Nicosia, Cyprusen
dc.publisherAffiliation: Sch. of Info. Technol. and Eng., University of Ottawa, 800 King Edward Ave., Ottawa, Ont. K1N 6N5, Canadaen
dc.publisherAffiliation: Mechanical Engineering Department, University of Cyprus, 75 Kallipoleos Avenue, Nicosia, Cyprusen
dc.publisherCorrespondence Address: Charalambous, C.D.en
dc.publisherSch. of Info. Technol. and Eng., University of Ottawa, 161 Louis Pasteur, A519, Ottawa, Ont. K1N 6N5, Canadaen
dc.publisheremail: chadcha@site.uottawa.caen
dc.sourceProceedings of the IEEE Conference on Decision and Controlen
dc.subjectInformation theoryen
dc.subjectGame theoryen
dc.subjectProbabilityen
dc.subjectAttenuationen
dc.subjectStochastic control systemsen
dc.subjectEntropyen
dc.subjectVectorsen
dc.subjectLarge Deviationsen
dc.subjectStatistical mechanicsen
dc.subjectMinimax Gamesen
dc.subjectRelative Entropyen
dc.subjectUncertain Stochastic Systemsen
dc.subjectDuality Propertiesen
dc.subjectEntropy Rateen
dc.subjectFree Energyen
dc.subjectHeat transferen
dc.subjectInduced Normsen
dc.subjectThermodynamicsen
dc.titleRelations between information theory, robustness, and statistical mechanics of stochastic systemsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume4
dc.description.startingpage3479
dc.description.endingpage3484
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.contributor.orcidCharalambous, Charalambos D. [0000-0002-2168-0231]
dc.description.totalnumpages3479-3484


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