{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005802528,0.0001019584,0.0001618815,0.00005192635,0.00001675449,0.00001083856,0.00006597668,0.00003819752,0.0001034384],"category_scores_gemma":[0.00000138228,0.00007734454,0.000038649,0.00007737005,0.000008838788,0.00005475194,0.000002270702,0.00007664074,0.000003259027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003180402,"about_ca_system_score_gemma":0.00002275341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000076547,"about_ca_topic_score_gemma":0.00001287742,"domain_scores_codex":[0.9994377,0.000006894913,0.0001537575,0.00009225823,0.00007504504,0.0002343401],"domain_scores_gemma":[0.999805,0.000008788288,0.00001696285,0.00009219095,0.00004070558,0.00003638419],"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":[0.00009918533,0.00001167057,0.00001597265,0.000004153445,0.00004991743,0.00000133198,0.00007040348,0.9841707,0.006566527,0.0007793605,0.00006245828,0.008168273],"study_design_scores_gemma":[0.001300425,0.0001605656,0.00004737373,0.00001220349,0.00001737006,0.000003095874,0.00003920173,0.9971285,0.0009839451,0.00007795645,0.0001202492,0.0001090808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06725807,0.001793675,0.9238213,0.0001318955,0.00003607287,0.0002166688,0.000002246767,0.0002237481,0.006516338],"genre_scores_gemma":[0.9984551,0.00007860446,0.001253023,0.0001295711,0.00001166479,0.000002626663,0.000002679936,0.0000119095,0.00005481852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.931197,"threshold_uncertainty_score":0.3154019,"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."}}