| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0438351 |
| utime |
20240111140857.4 |
| mtime |
20150105235959.9 |
| SCOPUS |
84964379836 |
| WOS |
000370073804049 |
| DOI |
10.1109/CDC.2014.7040034 |
| title
(primary) (eng) |
Semi-receding Horizon Algorithm for “Sufficiently Exciting” MPC with Adaptive Search Step |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0438349 |
| ISBN |
978-1-4673-6088-3 |
| title
|
Proceedings of the 53rd IEEE Conference on Decision and Control (CDC 2014) |
| page_num |
4142-4147 |
| publisher |
| place |
Los Angeles |
| name |
IEEE |
| year |
2014 |
|
|
| keyword |
Model predictive |
| keyword |
Control |
| keyword |
Nonlinear systems |
| author
(primary) |
| ARLID |
cav_un_auth*0305702 |
| name1 |
Žáčeková |
| name2 |
E. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0281469 |
| name1 |
Pčolka |
| name2 |
M. |
| country |
CZ |
|
| 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) |
In this paper, the task of finding an algorithm providing sufficiently excited data within the MPC framework is tackled. Such algorithm is expected to take action only when the re-identification is needed and it shall be used as the “least costly” closed loop identification experiment for MPC. The already existing approach based on maximization of the smallest eigenvalue of the information matrix increase is revised and an adaptation by introducing a semi-receding horizon principle is performed. Further, the optimization algorithm used for the maximization of the provided information is adapted such that the constraints on the maximal allowed control performance deterioration are handled more carefully and are incorporated directly into the process instead of using them just as a termination condition. The effect of the performed adaptations is inspected using a numerical example. |
| action |
| ARLID |
cav_un_auth*0312094 |
| name |
The 53rd IEEE Conference on Decision and Control (CDC 2014) |
| dates |
15.12.2014-17.12.2014 |
| place |
Los Angeles |
| country |
US |
|
| RIV |
BC |
| reportyear |
2015 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0241783 |
| cooperation |
| ARLID |
cav_un_auth*0305697 |
| name |
Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Control Engineering |
| institution |
ČVUT v Praze, FEL, Katedra řídicí techniky |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2014 |
| mrcbU14 |
84964379836 SCOPUS |
| mrcbU34 |
000370073804049 WOS |
| mrcbU56 |
textový dokument 459 kB |
| mrcbU63 |
cav_un_epca*0438349 Proceedings of the 53rd IEEE Conference on Decision and Control (CDC 2014) 978-1-4673-6088-3 4142 4147 Los Angeles IEEE 2014 CFP14CDC-USB Catalog Number: CFP14CDC-CDR |
|