0431252 20240111140850.420140905235959.9 6 s. C cav_un_epca*0433591978-3-902823-62-5587-592Cape TownIFAC2014 Predictive control adaptive control recursive identification 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 379 kB GA13-20433S GA ČR cav_un_auth*0292613 GC13-12726J GA ČR CZ cav_un_auth*0305749 In the building climate control area, the linear model predictive control (LMPC)| nowadays considered a mature technique|benets from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, while nonlinear model predictive control (NMPC) using a more detailed nonlinear model of a building takes advantage of its more accurate predictions and the fact that it attacks the optimization task more directly, it requires more involved ways of solving the non-convex optimization problem. In this paper, the gap between LMPC and NMPC is bridged by introducing several variants of linear time- varying model predictive controller (LTVMPC). Making use of linear time-varying model of the controlled building, LTVMPC obtains predictions which are closer to reality than those of linear time invariant model while still keeping the optimization task convex and less computationally demanding than in the case of NMPC. The concept of LTVMPC is veried on a set of numerical experiments performed using a high delity model created in a building simulation environment and compared to the previously mentioned alternatives (LMPC and NMPC) looking at both the control performance and the computational requirements. cav_un_auth*0305625 The 19th World Congress of the IFAC /2014/ Cape Town 24.08.2014-29.08.2014 ZA 2015 BC 5 PR RVO:67985556 http://hdl.handle.net/11104/0235861 cav_un_auth*0305697 ČVUT v Praze, FEL, Katedra řídicí techniky Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Control Engineering CZ cav_un_auth*0305703 MEEM TU USA Mechanical Engineering-Engineering Mechanics, Michigan, Technological University, United States US S 2014 textový dokument 379 kB cav_un_epca*0433591 Proceedings of the 19th IFAC World Congress, 2014 978-3-902823-62-5 587 592 Cape Town IFAC 2014