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
source_type pdf
url http://library.utia.cas.cz/separaty/2013/AS/suzdaleva-servo problem within fuel consumption optimization.pdf
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