{"id":"W2341508165","doi":"","title":"Small-Signal Modeling of Power Electronic Converters with Resonant Controllers","year":2009,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Converters; Linearization; Operating point; Reference frame; Transfer function; Small-signal model; Transient (computer programming); Frame (networking); SIGNAL (programming language); Time domain; Electric power system; Power (physics); Computer science; Engineering; Control engineering; Electronic engineering; Voltage; Nonlinear system; Electrical engineering; Control (management); Physics","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":[0.0002319594,0.0005284192,0.0004383409,0.0002707452,0.0002765779,0.0008648979,0.001096849,0.0008032263,0.004007571],"category_scores_gemma":[0.000542461,0.0002739749,0.0004571274,0.0002663902,0.0004121576,0.0007745118,0.0003298551,0.0006566456,0.001009081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844205,"about_ca_system_score_gemma":0.0003571718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098557,"about_ca_topic_score_gemma":0.001417337,"domain_scores_codex":[0.9998251,0.00004531223,0.000009423003,0.00002893248,0.00007665229,0.00001461244],"domain_scores_gemma":[0.9998645,0.00005220727,0.00002030946,0.00002245809,0.00003427279,0.000006210546],"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":[0.00004702287,0.00003601629,0.0001905311,0.00006089077,0.00001523799,0.0001119927,0.00006523736,0.9597626,0.01004926,0.02078647,0.0004350373,0.008439678],"study_design_scores_gemma":[0.000006232444,0.00002012771,0.00004380556,0.000002239129,0.000002999179,0.00001330319,0.000004682045,0.9966056,0.0007753234,0.001627358,0.0008956376,0.000002605682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02736844,0.0003184001,0.9458502,0.0001527071,0.00006344978,0.0001187448,0.0001530711,0.0009020171,0.02507298],"genre_scores_gemma":[0.9208081,0.0006502155,0.05562342,0.00007368466,0.0000482893,0.0002914318,0.0001568535,0.0001154617,0.0222325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004007571,"threshold_uncertainty_score":0.01340669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004182803393263812,"score_gpt":0.1491299518100023,"score_spread":0.1449471484167384,"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."}}