Servo Problem within Fuel Consumption Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F12%3A00201532" target="_blank" >RIV/68407700:21260/12:00201532 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/12:00387924
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Servo Problem within Fuel Consumption Optimization
Original language description
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. Thispaper 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-dependentspeed. Experiments with real data measured on a driven vehicle are provided.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01030123" target="_blank" >TA01030123: Ecology of driving, modeling, cluster models, classification, decision making</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the IASTED International Conference on Engineering and Applied Science
ISBN
978-0-88986-941-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
100-107
Publisher name
IASTED
Place of publication
Calgary
Event location
Columbo
Event date
Dec 27, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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