{"id":"W2088330852","doi":"10.1109/iecon.2012.6389413","title":"Control of voltage source inverter using FPGA implementation of ADALINE-FLL","year":2012,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Field-programmable gate array; Power electronics; Converters; Voltage source; Voltage; Uninterruptible power supply; Computer science; Inverter; Control theory (sociology); Power (physics); Transient (computer programming); Electronic engineering; Engineering; Electrical engineering; Control (management); Physics; Embedded system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001108226,0.0002742315,0.0001759448,0.0001849575,0.00017307,0.000311314,0.0005412233,0.0002132782,0.003553252],"category_scores_gemma":[0.0002371396,0.00007949148,0.00008518292,0.00009230628,0.0001236578,0.0001617499,0.0001084745,0.0001868617,0.0005018644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466483,"about_ca_system_score_gemma":0.0001828637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258749,"about_ca_topic_score_gemma":0.001621032,"domain_scores_codex":[0.999909,0.00001457663,0.000006376726,0.00002473426,0.00003226112,0.00001298809],"domain_scores_gemma":[0.9998931,0.00002739309,0.00001749046,0.00001491587,0.00004020043,0.0000068968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0011322,0.0002970654,0.003437924,0.0006486314,0.00008249813,0.0005835682,0.0004290522,0.08437202,0.3459046,0.007601194,0.006647977,0.5488632],"study_design_scores_gemma":[0.0004059928,0.001569427,0.003651342,0.00008010048,0.00006530395,0.000816514,0.00006907484,0.7329966,0.2350405,0.001643432,0.02361194,0.00004977177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.217529,0.0004977074,0.7463068,0.0002497495,0.0002458188,0.0002919076,0.0002817313,0.008666441,0.0259309],"genre_scores_gemma":[0.9387844,0.00006627167,0.05759605,0.00007011181,0.00001819987,0.0001036151,0.00007678548,0.00003376978,0.003250855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003553252,"threshold_uncertainty_score":0.01188678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008549210083074613,"score_gpt":0.2240329323473955,"score_spread":0.2154837222643209,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}