{"id":"W2991564677","doi":"10.1109/ecce.2019.8912250","title":"Hybrid Model Predictive Control of Active-Neutral-Point-Clamped Multilevel Converters","year":2019,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Converters; Control theory (sociology); Duty cycle; Capacitor; Voltage; Transient (computer programming); Computer science; Total harmonic distortion; Harmonic; Engineering; Electronic engineering; Control (management); Electrical engineering; 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":[0.0003384825,0.0005211632,0.0005935478,0.0002330494,0.0003298708,0.0008006556,0.0007207353,0.0003162454,0.001031376],"category_scores_gemma":[0.0004138543,0.0001975691,0.0003337548,0.0003359112,0.0003077061,0.0003749472,0.0004479325,0.0006230263,0.0001301556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826068,"about_ca_system_score_gemma":0.0003972021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005602242,"about_ca_topic_score_gemma":0.005504923,"domain_scores_codex":[0.9998237,0.00003773753,0.000008738693,0.00002864253,0.00007848655,0.00002268163],"domain_scores_gemma":[0.9998261,0.00006874673,0.00003420448,0.00001498237,0.00004637749,0.000009560876],"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":[0.00008310496,0.00004702313,0.00028109,0.00008441359,0.00003861037,0.00007588428,0.00005615869,0.9570333,0.005030783,0.0045946,0.0006785346,0.03199644],"study_design_scores_gemma":[0.000004820137,0.00002281348,0.0000645933,0.00000204192,0.000003789616,0.000004481351,0.000002318363,0.9987973,0.0004755727,0.0004581305,0.0001620169,0.00000206905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08259821,0.0006444538,0.9024969,0.0002029595,0.00008826555,0.00006018086,0.00008945115,0.0008761521,0.0129434],"genre_scores_gemma":[0.9884864,0.0001245521,0.0102885,0.0000219679,0.0000115156,0.00003710605,0.00003432517,0.000009703203,0.000985862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005602242,"threshold_uncertainty_score":0.01113927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008943783053025485,"score_gpt":0.19462135205439,"score_spread":0.1856775690013645,"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."}}