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Deadzone compensation and anti-windup design for brake-by-wire systems

date accessioned2020-03-12T20:14:14Z
date available2020-03-12T20:14:14Z
date issued2014
identifier other6859015.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1007009?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDeadzone compensation and anti-windup design for brake-by-wire systems
typeConference Paper
contenttypeMetadata Only
identifier padid8128589
subject keywordsfuzzy reasoning
subject keywordsgeophysics computing
subject keywordslearning (artificial intelligence)
subject keywordsmagnetic storms
subject keywordsrecurrent neural nets
subject keywordsAE index
subject keywordsANFIS
subject keywordsBELFIS
subject keywordsBELIM
subject keywordsBELRFS
subject keywordsLoLiMoT
subject keywordsadaptive neuro-fuzzy inference system
subject keywordsauroral electrojet index
subject keywordsbrain emotional learning based fuzzy inference system
subject keywordsbrain emotional learning inspired models
subject keywordsbrain emotional learning recurrent fuzzy system
subject keywordsgeomagnetic storms prediction
subject keywordslocally linear model tree learning algorithm
subject keywordsneuro-fuzzy models
subject keywordsAdaptation models
subject keywordsAdaptive
identifier doi10.1109/ICNC.2014.6975802
journal titlemerican Control Conference (ACC), 2014
filesize1543760
citations0
contributor rawauthorTodeschini, F. , Formentin, S. , Panzani, G. , Corno, M. , Savaresi, S.M. , Zaccarian, L.


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