0429566 20240111140848.420140908235959.9 10.1109/ACC.2014.6858928 6 s. C cav_un_epca*0429565978-1-4799-3271-90743-1619418-423PortlandIEEE2014 Model predictive control optimization cav_un_auth*0281469 Pčolka M. CZ cav_un_auth*0305702 Žáčeková E. CZ cav_un_auth*0304632 Robinett R. US cav_un_auth*0101074 Čelikovský Sergej Teorie řízení Department of Control Theory TŘ TR UTIA-B Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021057 Šebek M. CZ textový dokument 211 kB GA13-20433S GA ČR cav_un_auth*0292613 GC13-12726J GA ČR CZ cav_un_auth*0305749 In this paper, two alternatives approaches to model predictive control (MPC) are compared and contrasted for the role of zone temperature controller-the commonly used linear formulation (LMPC) and rather unconventional nonlinear formulation (NMPC). The economical focus is reflected by the performance criterion being a combination of the comfort requirements and the monetary cost penalties (price of the consumed hot water and the electricity needed to deliver the water to the building) of the controlled inputs. With this formulation, the optimal controller drives toward minimization of the real price rather than minimization of abstract quantities. It turns out that the NMPC is able to attack the cost minimization directly while retaining a compact optimization formulation as opposed to the suboptimal linear alternative. A considerable part of the superiority of the NMPC can be owed also to the use of a nonlinear model that captures the nonlinear building dynamics much more accurately than the linear models. cav_un_auth*0304633 The 2014 American Control Conference (ACC‘14) Portland, Oregon 04.06.2014-06.06.2014 US 2015 BC 5 PR RVO:67985556 http://hdl.handle.net/11104/0235878 cav_un_auth*0295056 ČVUT České vysoké učení technické v Praze CZ Praha 6 S 58 0.503 18.72 0.61 Q2 2014 textový dokument 211 kB cav_un_epca*0429565 Proceedings of the 2014 American Control Conference (ACC‘14) 978-1-4799-3271-9 0743-1619 418 423 Portland IEEE 2014 CFP14ACC-USB