dc.contributor.author | Charalambous, Charalambos D. | en |
dc.contributor.author | Kourtellaris, Christos K. | en |
dc.contributor.author | Loyka, Sergey | en |
dc.creator | Charalambous, Charalambos D. | en |
dc.creator | Kourtellaris, Christos K. | en |
dc.creator | Loyka, Sergey | en |
dc.date.accessioned | 2021-01-26T09:45:29Z | |
dc.date.available | 2021-01-26T09:45:29Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/63251 | |
dc.description.abstract | We 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.source | 2018 IEEE Conference on Decision and Control (CDC) | en |
dc.title | Control-Coding Capacity of Decision Models Driven by Correlated Noise and Gaussian Application Examples | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/CDC.2018.8619782 | |
dc.description.startingpage | 4967 | |
dc.description.endingpage | 4972 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Charalambous, Charalambos D. [0000-0002-2168-0231] | |
dc.gnosis.orcid | 0000-0002-2168-0231 | |