{"id":"W2140237476","doi":"10.1109/pesc.2004.1355671","title":"Experimental validation of nonlinear and adaptive control strategies implemented on a 3-phase 3-level NPC boost rectifier","year":2004,"lang":"en","type":"article","venue":"2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551)","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Control theory (sociology); Parametric statistics; Rectifier (neural networks); Nonlinear system; Pulse-width modulation; Computer science; Voltage; Microprocessor; Three-phase; Adaptive control; Electronic engineering; Power (physics); Engineering; Control (management); Mathematics; Electrical engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005451532,0.0004553879,0.0003851279,0.0002590234,0.0002582409,0.0003988483,0.0008941381,0.0005502766,0.002144156],"category_scores_gemma":[0.0009647208,0.0001501688,0.0002270358,0.0002217732,0.0003863491,0.0004077941,0.0002697946,0.0005273854,0.000339873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165845,"about_ca_system_score_gemma":0.0001954017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473715,"about_ca_topic_score_gemma":0.0007109041,"domain_scores_codex":[0.9994961,0.00007989213,0.00004359916,0.00008735118,0.0002144633,0.00007860351],"domain_scores_gemma":[0.9992697,0.000225054,0.0001197085,0.0001229501,0.0002214567,0.00004117146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001341737,0.001008649,0.001593114,0.0008523361,0.00006868974,0.0003643984,0.0005373899,0.02248653,0.9259786,0.0009586518,0.0005232065,0.04428679],"study_design_scores_gemma":[0.0002825723,0.006850429,0.007059317,0.00004479884,0.00005798396,0.0002246124,0.0001685184,0.08447061,0.8978378,0.0003991524,0.002558624,0.00004556724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431236,0.000116758,0.05223223,0.00007353716,0.00006823306,0.0001703943,0.0001570936,0.0005561269,0.003501944],"genre_scores_gemma":[0.9934569,0.0000491477,0.005290932,0.0000144528,0.00000580085,0.00006606435,0.00005464207,0.0000188458,0.001043269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002144156,"threshold_uncertainty_score":0.007172942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428042766580722,"score_gpt":0.275766561743756,"score_spread":0.2514861340779487,"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."}}