bibtype	C - Conference Paper (international conference)
ARLID	0431252
utime	20240111140850.4
mtime	20140905235959.9
title (primary) (eng)	From Linear to Nonlinear Model Predictive Control of a Building
specification	page_count 6 s. media_type C
serial	ARLID cav_un_epca*0433591 ISBN 978-3-902823-62-5 title Proceedings of the 19th IFAC World Congress, 2014 page_num 587-592 publisher place Cape Town name IFAC year 2014
keyword	Predictive control
keyword	adaptive control
keyword	recursive identification
author (primary)	ARLID cav_un_auth*0281469 name1 Pčolka name2 M. country CZ
author	ARLID cav_un_auth*0305702 name1 Žáčeková name2 E. country CZ
author	ARLID cav_un_auth*0304632 name1 Robinett name2 R. country US
author	ARLID cav_un_auth*0101074 name1 Čelikovský name2 Sergej full_dept (cz) Teorie řízení full_dept Department of Control Theory department (cz) TŘ department TR institution UTIA-B full_dept Department of Control Theory fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0021057 name1 Šebek name2 M. country CZ
source	source_type textový dokument source_size 379 kB
cas_special	project project_id GA13-20433S agency GA ČR ARLID cav_un_auth*0292613 project project_id GC13-12726J agency GA ČR country CZ ARLID cav_un_auth*0305749 abstract (eng) 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. action ARLID cav_un_auth*0305625 name The 19th World Congress of the IFAC /2014/ place Cape Town dates 24.08.2014-29.08.2014 country ZA reportyear 2015 RIV BC num_of_auth 5 presentation_type PR inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0235861 cooperation ARLID cav_un_auth*0305697 institution ČVUT v Praze, FEL, Katedra řídicí techniky name Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Control Engineering country CZ cooperation ARLID cav_un_auth*0305703 institution MEEM TU USA name Mechanical Engineering-Engineering Mechanics, Michigan, Technological University, United States country US confidential S arlyear 2014 mrcbU56 textový dokument 379 kB mrcbU63 cav_un_epca*0433591 Proceedings of the 19th IFAC World Congress, 2014 978-3-902823-62-5 587 592 Cape Town IFAC 2014