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dc.contributor.authorCharalambous, Charalambos D.en
dc.contributor.authorKourtellaris, Christos K.en
dc.contributor.authorLoyka, Sergeyen
dc.creatorCharalambous, Charalambos D.en
dc.creatorKourtellaris, Christos K.en
dc.creatorLoyka, Sergeyen
dc.description.abstractWe characterize the n -finite time feedback information (FTFI) control-coding capacity of decision models (DMs) driven by correlated noise. Under information stability the per unit limit, called control-coding (CC) capacity of the DM is operational, and analogous to Shannon's coding capacity of noisy communication channels, with the encoder replaced by a controller-encoder. We also analyze application examples of recursive linear DMs driven by correlated Gaussian noise, subject to an average cost constraint of quadratic form, called linear-quadratic Gaussian DMs (LQG-DMs). In one of the main theorems we show that the optimal randomized control strategies that achieve the n -FTFI CC capacity of the LQG-DMs, consist of multiple parts, that include control, estimation, and information transmission/signalling strategies, and that these strategies are determined using decentralized optimization techniques.en
dc.source2018 IEEE Conference on Decision and Control (CDC)en
dc.titleControl-Coding Capacity of Decision Models Driven by Correlated Noise and Gaussian Application Examplesen
dc.description.endingpage4972Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidCharalambous, Charalambos D. [0000-0002-2168-0231]

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