{"id":"W3035876486","doi":"10.1109/tpel.2020.3002968","title":"A Composite Selective Harmonic Elimination Model Predictive Control for Seven-Level Hybrid-Clamped Inverters With Optimal Switching Patterns","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Model predictive control; Pulse-width modulation; Capacitor; Voltage; Modulation index; Total harmonic distortion; Weighting; Harmonic; Optimal control; Computer science; Engineering; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007598023,0.0004296752,0.0003780032,0.000139044,0.000208907,0.00006999637,0.0002275831,0.0001181462,0.00001539515],"category_scores_gemma":[0.000002252957,0.000435917,0.0001868289,0.0001873225,0.00002872309,0.0003630201,0.000001205014,0.0006377977,0.000009051873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476278,"about_ca_system_score_gemma":0.000151173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001010541,"about_ca_topic_score_gemma":0.00003111295,"domain_scores_codex":[0.9982104,0.00003532051,0.0003239823,0.0004802221,0.0002888714,0.00066125],"domain_scores_gemma":[0.9992856,0.00009227631,0.00007213774,0.0002008229,0.0001341663,0.0002149465],"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":[0.001178088,0.0001075803,0.000008556324,0.00007287514,0.0007267342,0.000004860726,0.003214939,0.9618316,0.01953978,0.00002631434,0.0002765086,0.01301215],"study_design_scores_gemma":[0.003170628,0.000942295,0.00004310337,0.0000524276,0.0002098425,0.00001347255,0.0001660715,0.9264131,0.06845686,0.00003443876,0.00003647513,0.0004612735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05409459,0.00003806052,0.9434371,0.0004468839,0.0001410729,0.0009342842,0.0004557914,0.0004077938,0.00004442901],"genre_scores_gemma":[0.9965568,0.00004093775,0.001630051,0.001223816,0.00002379762,0.000346304,0.00002447335,0.0001272548,0.00002653671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9424622,"threshold_uncertainty_score":0.9998093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453186697014967,"score_gpt":0.2084677236665116,"score_spread":0.193935856696362,"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."}}