{"id":"W4407304562","doi":"10.1109/ecce55643.2024.10861009","title":"High-Performance Cascaded Model Predictive Control for Multilevel Inverters","year":2024,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Computer science; Control (management); Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838642,0.000452116,0.0005310595,0.0002680314,0.000420745,0.0005783678,0.000846556,0.0004135496,0.001408597],"category_scores_gemma":[0.0004873763,0.0002597772,0.0003434987,0.0003904371,0.0002431765,0.0005909824,0.0004405498,0.00076143,0.0002031791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004783367,"about_ca_system_score_gemma":0.0004339956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664271,"about_ca_topic_score_gemma":0.005055171,"domain_scores_codex":[0.9997986,0.00002950369,0.000008240954,0.00003197023,0.0001152621,0.00001650455],"domain_scores_gemma":[0.9998683,0.00004479053,0.0000264341,0.00001859616,0.00003494873,0.000006955096],"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":[0.0001261985,0.00009439615,0.0006961096,0.0001899243,0.00005415672,0.0001939662,0.0001331994,0.8558292,0.01674323,0.008873899,0.001794022,0.1152717],"study_design_scores_gemma":[0.000003189278,0.00001962143,0.0000698819,0.000002352563,0.000002142869,0.000005670064,0.000001741386,0.9984903,0.0007889759,0.0003680981,0.0002458529,0.000002184285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05271935,0.0006911879,0.9367129,0.0001784533,0.0001160399,0.00006168909,0.00006597061,0.0008564154,0.008597887],"genre_scores_gemma":[0.9733534,0.0002071817,0.02518667,0.00002678598,0.00002144385,0.00004530223,0.00004222878,0.00001398402,0.001103056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004664271,"threshold_uncertainty_score":0.009274244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463276658123987,"score_gpt":0.2105492924164373,"score_spread":0.1959165258351974,"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."}}