| bibtype |
M -
Monography Chapter
|
| ARLID |
0569998 |
| utime |
20230316110709.6 |
| mtime |
20230313235959.9 |
| DOI |
10.1007/978-3-031-26474-0_8 |
| title
(primary) (eng) |
Output-Feedback Model Predictive Control Using Set of State Estimates |
| specification |
| page_count |
12 s. |
| book_pages |
209 |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0569489 |
| ISBN |
978-3-031-26474-0 |
| ISSN |
1876-1100 |
| title
|
Informatics in Control, Automation and Robotics. ICINCO 2021 : Revised Selected Papers |
| page_num |
151-162 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2023 |
|
| editor |
|
| editor |
|
| editor |
|
|
| keyword |
output-feedback control |
| keyword |
model predictive control |
| keyword |
state estimation |
| keyword |
Bayesian methods |
| keyword |
robotic system |
| keyword |
bounded disturbances |
| author
(primary) |
| ARLID |
cav_un_auth*0382598 |
| name1 |
Kuklišová Pavelková |
| name2 |
Lenka |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| country |
CZ |
| share |
50 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101064 |
| name1 |
Belda |
| name2 |
Květoslav |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| abstract
(eng) |
The paper deals with an algorithm of output-feedback model predictive control (MPC) where the required point state estimate is selected from the set of possible estimates. The involved state estimator is based on an approximate uniform Bayesian filter. In the paper, there are compared conservative mean and progressive composite state estimates. The proposed method is illustrated by the motion control of a specific robotic system. |
| RIV |
BC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2023 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0341355 |
| confidential |
S |
| arlyear |
2023 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0569489 Informatics in Control, Automation and Robotics. ICINCO 2021 : Revised Selected Papers Springer 2023 Cham 151 162 978-3-031-26474-0 Lecture Notes in Electrical Engineering 1006 1876-1100 1876-1119 |
| mrcbU67 |
Gusikhin O. 340 |
| mrcbU67 |
Madani K. 340 |
| mrcbU67 |
Nijmeijer H. 340 |
|