bibtype C - Conference Paper (international conference)
ARLID 0393380
utime 20240111140832.0
mtime 20140314235959.9
title (primary) (eng) Double Optimization of Fuel Consumption and Speed Tracking
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0426837
ISBN 978-3-902823-37-3
ISSN 1474-6670
title Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing
page_num 305-310
publisher
place Caen
name International Federation of Automatic Control
year 2013
keyword Control applications
keyword closed-loop control
keyword adaptive systems
keyword fuel 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.
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-double optimization of fuel consumption and speed tracking.pdf
cas_special
project
project_id TA01030123
agency GA TA ČR
ARLID cav_un_auth*0271776
project
project_id TA01030603
agency GA TA ČR
ARLID cav_un_auth*0272526
abstract (eng) This paper presents automatic fuel consumption optimization with simultaneous keeping the recommended vehicle's speed. These tasks are closely related since a simple minimization of fuel consumption leads to stopping a vehicle. The proposed ``double'' optimization is performed online using combination of two controllers. The first of them is based on fully probabilistic design (FPD) under Bayesian methodology. It optimizes the ``driver-vehicle'' closed loop with the aim to save fuel and keep the recommended speed, using externally given setpoints. Optimized values serve as setpoints for PID controller, which provides necessary setpoint tracking.
action
ARLID cav_un_auth*0292326
name IFAC International Workshop on Adaptation and Learning in Control and Signal Processing /11./ (2013)
place Caen
dates 03.07.2013-05.07.2013
country FR
reportyear 2014
RIV BC
num_of_auth 4
presentation_type PR
permalink http://hdl.handle.net/11104/0222415
confidential S
arlyear 2013
mrcbU56 pdf
mrcbU63 cav_un_epca*0426837 Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing 978-3-902823-37-3 1474-6670 305 310 Caen International Federation of Automatic Control 2013