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Online velocity trajectory planning for manual energy efficient driving of heavy duty vehicles using model predictive control

Author:
Henzler, Michael
,
Buchholz, Michael
,
Dietmayer, Klaus
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ISGT.2014.6816456
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1060033
Keyword(s): convex programming,n load flow,n power system measurement,n power system state estimation,n AC electric power system state estimator,n AC power flow model,n SE,n equivalent convex optimization problem,n noise measurement,n nonlinear state estimator,n voltage estimation,n Noise,n Noise measurement,n Optimization,n Polynomials,n Power systems,n State estimation,n Voltage measurement
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    Online velocity trajectory planning for manual energy efficient driving of heavy duty vehicles using model predictive control

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contributor authorHenzler, Michael
contributor authorBuchholz, Michael
contributor authorDietmayer, Klaus
date accessioned2020-03-12T21:46:33Z
date available2020-03-12T21:46:33Z
date issued2014
identifier other6957956.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1060033?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleOnline velocity trajectory planning for manual energy efficient driving of heavy duty vehicles using model predictive control
typeConference Paper
contenttypeMetadata Only
identifier padid8191624
subject keywordsconvex programming
subject keywordsn load flow
subject keywordsn power system measurement
subject keywordsn power system state estimation
subject keywordsn AC electric power system state estimator
subject keywordsn AC power flow model
subject keywordsn SE
subject keywordsn equivalent convex optimization problem
subject keywordsn noise measurement
subject keywordsn nonlinear state estimator
subject keywordsn voltage estimation
subject keywordsn Noise
subject keywordsn Noise measurement
subject keywordsn Optimization
subject keywordsn Polynomials
subject keywordsn Power systems
subject keywordsn State estimation
subject keywordsn Voltage measurement
identifier doi10.1109/ISGT.2014.6816456
journal titlentelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
filesize292421
citations0
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