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A new learning algorithm for a Fully Connected Fuzzy Inference System (F-CONFIS) with its application for computing learning capacity

contributor authorChen, C.L.P.
date accessioned2020-03-12T21:04:27Z
date available2020-03-12T21:04:27Z
date issued2014
identifier other6923567.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1036044?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA new learning algorithm for a Fully Connected Fuzzy Inference System (F-CONFIS) with its application for computing learning capacity
typeConference Paper
contenttypeMetadata Only
identifier padid8162187
subject keywordscontrol system analysis
subject keywordsfault tolerant control
subject keywordsmathematical programming
subject keywordsrobust control
subject keywordscontrol allocation technology
subject keywordscontrol effectiveness model
subject keywordscontrol effector failure
subject keywordscontrol output error
subject keywordsminimal virtual control error
subject keywordsprimal dual interior point method
subject keywordsrobust control allocation method
subject keywordssecond order conic programming problem
subject keywordsAerospace control
subject keywordsAircraft
subject keywordsOptimization
subject keywordsResource management
subject keywordsRobust control
subject keywordsRobustness
subject keywordsUncertainty
subject keywordsADMIRE
subject keywordsfault estimation
subject keywordsoptimization
subject keywordsrobust control a
identifier doi10.1109/ICInfA.2014.6932736
journal titlentelligent Systems and Informatics (SISY), 2014 IEEE 12th International Symposium on
filesize183956
citations0


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