| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0448759 |
| utime |
20240111140908.8 |
| mtime |
20151019235959.9 |
| SCOPUS |
84964391182 |
| WOS |
000369332000021 |
| DOI |
10.1109/CCA.2015.7320627 |
| title
(primary) (eng) |
MPC for a Class of Nonlinear Systems with Guaranteed Identifiability |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0448758 |
| ISBN |
978-1-4799-7787-1 |
| ISSN |
1085-1992 |
| title
|
Proceedings of the 2015 IEEE Conference on Control Applications (CCA) |
| page_num |
163-168 |
| publisher |
| place |
Sydney |
| name |
IEEE |
| year |
2015 |
|
|
| keyword |
model predictive control |
| keyword |
identification |
| 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*0021057 |
| name1 |
Šebek |
| 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. |
|
| source |
| source_type |
článek |
| source_size |
356 KB |
|
| cas_special |
| abstract
(eng) |
This paper addresses the problem of model predictive control for a class of nonlinear systems which satisfies persistent excitation condition. The conditions under which a nonlinear system description can be handled are specified and two algorithms (one optimizing the first input sample and the other considering optimization of an M-sample subsequence of the input profile) solving the persistent excitation condition within a predictive controller for nonlinear systems are developed, both maximizing the smallest eigenvalue of the information matrix increase. The numerical experiments performed on a test-bed system demonstrate that the algorithms are able to successfully improve identifiability of a nonlinear system description while keeping the original controller performance degradation lower than arbitrarily chosen level |
| action |
| ARLID |
cav_un_auth*0320745 |
| name |
IEEE Conference on Control Applications 2015 (CCA 2015) |
| dates |
21.09.2015-23.09.2015 |
| place |
Sydney |
| country |
AU |
|
| RIV |
BC |
| reportyear |
2016 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0250398 |
| 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 |
2015 |
| mrcbU14 |
84964391182 SCOPUS |
| mrcbU34 |
000369332000021 WOS |
| mrcbU56 |
článek 356 KB |
| mrcbU63 |
cav_un_epca*0448758 Proceedings of the 2015 IEEE Conference on Control Applications (CCA) 978-1-4799-7787-1 1085-1992 163 168 Sydney IEEE 2015 |
|