{"id":"W4310929542","doi":"10.1109/iecon49645.2022.9968719","title":"Using Dynamic Phasors to Model a Single-Phase Active Rectifier Based on Lyapunov Current Control","year":2022,"lang":"en","type":"article","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Control theory (sociology); Total harmonic distortion; Lyapunov function; Feed forward; Rectifier (neural networks); Three-phase; Converters; Computer science; Phasor; Harmonic; Nonlinear system; Engineering; Power (physics); Electric power system; Control engineering; Voltage; Control (management); 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":[0.000187866,0.0006232891,0.0004007171,0.0002925073,0.0001999654,0.0006132869,0.0005930515,0.0004147761,0.001716154],"category_scores_gemma":[0.0003946104,0.0002301593,0.0003960489,0.0003081982,0.0003293529,0.000754681,0.0003056472,0.0006112366,0.0005608136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002906271,"about_ca_system_score_gemma":0.0003247209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161071,"about_ca_topic_score_gemma":0.00196817,"domain_scores_codex":[0.9998864,0.00003069575,0.00001029754,0.00002445876,0.00003940875,0.000008791269],"domain_scores_gemma":[0.9998744,0.00004245839,0.00002704338,0.00001678329,0.00003413108,0.000005240629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002038467,0.00002140071,0.0003322299,0.0001079708,0.00001727011,0.0001112431,0.00005885339,0.9591355,0.008982249,0.014342,0.0003306862,0.01654014],"study_design_scores_gemma":[0.000004492569,0.00004173822,0.00008156133,0.000004701707,0.000004193785,0.00002574013,0.000004329841,0.9961202,0.0009033701,0.001739442,0.001066381,0.000003865405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01028609,0.0001664206,0.9849544,0.00003929949,0.00003848402,0.00004940659,0.00004820178,0.0002850027,0.004132745],"genre_scores_gemma":[0.907425,0.0005933739,0.08602465,0.00003479064,0.00003765189,0.000240886,0.0002094074,0.00005884904,0.005375397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002161071,"threshold_uncertainty_score":0.005741179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05898147947132415,"score_gpt":0.2937336034172148,"score_spread":0.2347521239458907,"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."}}