bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0387924 |
utime |
20240111140826.2 |
mtime |
20130122235959.9 |
title
(primary) (eng) |
Servo Problem within Fuel Consumption Optimization |
specification |
page_count |
8 s. |
media_type |
C |
|
serial |
ARLID |
cav_un_epca*0387923 |
ISBN |
978-0-88986-941-7 |
title
|
Proceedings of the IASTED International Conference on Engineering and Applied Science |
page_num |
100-107 |
publisher |
place |
Columbo |
name |
IASTED |
year |
2012 |
|
|
keyword |
control |
keyword |
servo problem |
keyword |
fuel consumption optimization |
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. |
|
author
|
ARLID |
cav_un_auth*0274528 |
name1 |
Mlynářová |
name2 |
Tereza |
full_dept (cz) |
Adaptivní systémy |
full_dept |
Department of Adaptive Systems |
department (cz) |
AS |
department |
AS |
institution |
UTIA-B |
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 presented paper deals with a problem of fuel consumption optimization. Today's automotive industry solves this problem mainly via various conceptual approaches (hybrid and electric vehicles). However, it leads to high initial cost of a vehicle. This paper focuses on fuel economy for conventional vehicles. For this aim, recursive algorithms of adaptive optimal quadratic control under Bayesian methodology are used. A stochastic servo problem, including set-point tracking, is a part of the considered adaptive control design. In this paper, fuel consumption and speed of a driven vehicle are the controlled variables, where the first one is to be optimized and the second one is pushed to track its set-point. This set-point is a recommended road-dependent speed. Experiments with real data measured on a driven vehicle are provided. |
action |
ARLID |
cav_un_auth*0288301 |
name |
The IASTED International Conference on Engineering and Applied Science |
place |
Columbo |
dates |
27.12.2012-29.12.2012 |
country |
LK |
|
reportyear |
2013 |
RIV |
BC |
num_of_auth |
4 |
presentation_type |
PR |
permalink |
http://hdl.handle.net/11104/0217168 |
arlyear |
2012 |
mrcbU56 |
pdf |
mrcbU63 |
cav_un_epca*0387923 Proceedings of the IASTED International Conference on Engineering and Applied Science 978-0-88986-941-7 100 107 Columbo IASTED 2012 |
|