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FPGA-based design and implementation of direct torque control for induction machines

Author:
Zare, Mohammad A.
,
Kavasseri, Rajesh G.
,
Ababei, Cristinel
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ISCC.2014.6912621
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1100872
Keyword(s): content-addressable storage,n neural nets,n optical fibre networks,n telecommunication computing,n telecommunication network topology,n all optical networks,n auto-associative neural memories,n maximum flow average weighted hop,n network domains,n topology selection criteria,n virtual topology controller,n virtual topology reconfiguration,n weighing topology effect,n wireless networks,n Equations,n Network topology,n Noise measurement,n Optical
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    FPGA-based design and implementation of direct torque control for induction machines

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contributor authorZare, Mohammad A.
contributor authorKavasseri, Rajesh G.
contributor authorAbabei, Cristinel
date accessioned2020-03-12T22:58:13Z
date available2020-03-12T22:58:13Z
date issued2014
identifier other7032520.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1100872
formatgeneral
languageEnglish
publisherIEEE
titleFPGA-based design and implementation of direct torque control for induction machines
typeConference Paper
contenttypeMetadata Only
identifier padid8243103
subject keywordscontent-addressable storage
subject keywordsn neural nets
subject keywordsn optical fibre networks
subject keywordsn telecommunication computing
subject keywordsn telecommunication network topology
subject keywordsn all optical networks
subject keywordsn auto-associative neural memories
subject keywordsn maximum flow average weighted hop
subject keywordsn network domains
subject keywordsn topology selection criteria
subject keywordsn virtual topology controller
subject keywordsn virtual topology reconfiguration
subject keywordsn weighing topology effect
subject keywordsn wireless networks
subject keywordsn Equations
subject keywordsn Network topology
subject keywordsn Noise measurement
subject keywordsn Optical
identifier doi10.1109/ISCC.2014.6912621
journal titleeConFigurable Computing and FPGAs (ReConFig), 2014 International Conference on
filesize417576
citations0
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