| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0378660 |
| utime |
20240103201024.6 |
| mtime |
20120828235959.9 |
| DOI |
10.3182/20120711-3-BE-2027.00080 |
| title
(primary) (eng) |
Fuel Consumption Optimization: Early Experiments |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0379871 |
| ISBN |
978-3-902823-06-9 |
| title
|
Proceedings of the 16th IFAC Symposium on System Identification |
| page_num |
751-756 |
| publisher |
| place |
Brussels |
| name |
IFAC |
| year |
2012 |
|
|
| keyword |
fully probabilistic design |
| keyword |
fuel consumption minimization |
| keyword |
closed-loop control |
| author
(primary) |
| ARLID |
cav_un_auth*0108105 |
| name1 |
Suzdaleva |
| name2 |
Evgenia |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101175 |
| name1 |
Pavelková |
| name2 |
Lenka |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
TA01030123 |
| agency |
GA TA ČR |
| ARLID |
cav_un_auth*0271776 |
|
| abstract
(eng) |
The paper deals with a problem of fuel consumption optimization. Solutions existing in this field are mainly based on the various conceptual approaches such as hybrid and electric vehicles. However, it leads to high initial cost of a vehicle. The approach presented in this paper aims at conventional vehicles and is based on recursive algorithms of system identification and adaptive quadratic optimal control under Bayesian methodology. Experiments with real data measured on a driven vehicle are provided. |
| action |
| ARLID |
cav_un_auth*0282287 |
| name |
16th IFAC Symposium on System Identification The International Federation of Automatic Control |
| place |
Brussels |
| dates |
11.07.2012-13.07.2012 |
| country |
BE |
|
| reportyear |
2013 |
| RIV |
BC |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0210075 |
| arlyear |
2012 |
| mrcbU63 |
cav_un_epca*0379871 Proceedings of the 16th IFAC Symposium on System Identification 978-3-902823-06-9 751 756 Brussels IFAC 2012 |
|