{"id":"W2132297004","doi":"10.1109/isie.2006.295687","title":"LQR with Integral Action for Phase Current Control of Constant Switching Frequency Vienna Rectifier","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Total harmonic distortion; Power factor; Linear-quadratic regulator; Controller (irrigation); Rectifier (neural networks); Three-phase; Voltage regulator; Engineering; Voltage; Computer science; Mathematics; Optimal control; Electrical engineering","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":[0.001718491,0.0004590691,0.0007219356,0.0003043654,0.000269103,0.0008719695,0.0008235435,0.0005071404,0.001662524],"category_scores_gemma":[0.001551311,0.0002037576,0.0004569529,0.0003995879,0.0004397341,0.0004544346,0.0003588386,0.0007152944,0.0006128016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447598,"about_ca_system_score_gemma":0.0003750806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009449733,"about_ca_topic_score_gemma":0.0006564332,"domain_scores_codex":[0.9989462,0.0003118197,0.00006446421,0.0001466823,0.0004679696,0.00006280873],"domain_scores_gemma":[0.9994436,0.0002399919,0.00006496466,0.0000434972,0.0001944541,0.00001351524],"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":[0.0006310726,0.0001972971,0.0009001608,0.001010647,0.0001484325,0.0003536679,0.0006450773,0.3937609,0.14297,0.04086222,0.003269415,0.4152511],"study_design_scores_gemma":[0.00008364269,0.0004116134,0.0002661147,0.00002634711,0.00003546017,0.0001017323,0.00001482062,0.9821451,0.01000607,0.00301692,0.003871808,0.00002054024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007386118,0.0003680659,0.9893749,0.00004395506,0.00005610063,0.00002534119,0.000007353435,0.0004396053,0.002298511],"genre_scores_gemma":[0.8840909,0.0004683686,0.1116655,0.0001143581,0.0001133211,0.0001474525,0.00005992163,0.0001093841,0.003230889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001718491,"threshold_uncertainty_score":0.009088337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130775397067687,"score_gpt":0.2675461882951625,"score_spread":0.2544686485883938,"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."}}