bibtype	C - Conference Paper (international conference)
ARLID	0429566
utime	20240111140848.4
mtime	20140908235959.9
DOI	10.1109/ACC.2014.6858928
title (primary) (eng)	Economical Nonlinear Model Predictive Control for Building Climate Control
specification	page_count 6 s. media_type C
serial	ARLID cav_un_epca*0429565 ISBN 978-1-4799-3271-9 ISSN 0743-1619 title Proceedings of the 2014 American Control Conference (ACC‘14) page_num 418-423 publisher place Portland name IEEE year 2014
keyword	Model predictive control
keyword	optimization
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 211 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 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. action ARLID cav_un_auth*0304633 name The 2014 American Control Conference (ACC‘14) place Portland, Oregon dates 04.06.2014-06.06.2014 country US reportyear 2015 RIV BC num_of_auth 5 presentation_type PR inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0235878 cooperation ARLID cav_un_auth*0295056 institution ČVUT name České vysoké učení technické v Praze country CZ mrcbC63-f Praha 6 confidential S mrcbT16-q 58 mrcbT16-s 0.503 mrcbT16-y 18.72 mrcbT16-x 0.61 mrcbT16-E Q2 arlyear 2014 mrcbU56 textový dokument 211 kB mrcbU63 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