| bibtype |
J -
Journal Article
|
| ARLID |
0460306 |
| utime |
20240111140920.7 |
| mtime |
20160624235959.9 |
| SCOPUS |
84956865804 |
| WOS |
000378955700012 |
| DOI |
10.1016/j.conengprac.2016.01.007 |
| title
(primary) (eng) |
Bridging the gap between the linear and nonlinear predictive control: Adaptations fo refficient building climate control |
| specification |
| page_count |
15 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0252596 |
| ISSN |
0967-0661 |
| title
|
Control Engineering Practice |
| volume_id |
53 |
| volume |
1 (2016) |
| page_num |
124-138 |
| publisher |
|
|
| keyword |
Model predictive control |
| keyword |
Identification for control |
| keyword |
Building climatecontrol |
| 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 |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| full_dept |
Department of Control Theory |
| name1 |
Čelikovský |
| name2 |
Sergej |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0021057 |
| name1 |
Šebek |
| name2 |
M. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292613 |
| project_id |
GA13-20433S |
| agency |
GA ČR |
|
| abstract
(eng) |
The linear model predictive control which is frequently used for building climate control benefits from the fact that the resulting optimization task is convex (thus easily and quickly solvable). On the other hand, the nonlinear model predictive control enables the use of a more detailed nonlinear model and it takes advantage of the fact that it addresses the optimization task more directly, however, it requires a more computationally complex algorithm for solving the non-convex optimization problem. In this paper,the gap between the linear and the nonlinear one is bridged by introducing apredictive controller with linear time-dependent model. Making use of linear time-dependent model of the building, the newly proposed controller obtains predictions which are closer to reality than those of linear time in-variant model, however,the computational complexity is still kept low since the optimization task remains convex. |
| RIV |
BC |
| reportyear |
2017 |
| num_of_auth |
5 |
| mrcbC52 |
4 A hod 4ah 20231122141737.2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0260442 |
| cooperation |
| ARLID |
cav_un_auth*0300364 |
| name |
Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague |
| institution |
ČVUT FEL v Praze |
| country |
CZ |
|
| mrcbC64 |
1 Department of Control Theory UTIA-B 20205 AUTOMATION & CONTROL SYSTEMS |
| confidential |
S |
| mrcbC86 |
2 Article|Proceedings Paper Automation Control Systems|Engineering Electrical Electronic |
| mrcbT16-e |
AUTOMATIONCONTROLSYSTEMS|ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
0.774 |
| mrcbT16-s |
1.076 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
63.799 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2016 |
| mrcbTft |
\nSoubory v repozitáři: celikovsky-0460306.pdf |
| mrcbU14 |
84956865804 SCOPUS |
| mrcbU34 |
000378955700012 WOS |
| mrcbU56 |
článek v odborném periodiku |
| mrcbU63 |
cav_un_epca*0252596 Control Engineering Practice 0967-0661 1873-6939 Roč. 53 č. 1 2016 124 138 Elsevier |
|