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A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network

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Bibliographic Details
Published in:IEEE Open Journal of Power Electronics
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title IEEE Open Journal of Power Electronics
description
discipline_display Energy
discipline_facet Energy
format Online Article
RSS Article
genre Journal Article
id rss_article:73479
institution FRELIP
journal_source_facet IEEE Open Journal of Power Electronics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
Energy
General
Energy
subject_facet Energy
General
Energy
title A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
title_auth A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
title_full A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
title_fullStr A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
title_full_unstemmed A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
title_short A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network
title_sort a novel reduced-ripple torque control technique for electric vehicle switched reluctance motors using an adaptive fuzzy neural network
topic Energy
General
Energy
url http://ieeexplore.ieee.org/document/11456817