{"id":"W4385400558","doi":"10.18280/jesa.560306","title":"Predictive Current Control of Voltage Source Inverters Using a Discrete-Time Model","year":2023,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Model predictive control; Voltage source inverter; Voltage source; Voltage; Control theory (sociology); Current source; Computer science; Control (management); Engineering; Electrical engineering; Inverter; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003666072,0.0004157303,0.0004983893,0.0002227746,0.0001987576,0.000940161,0.0006600771,0.000417758,0.001118593],"category_scores_gemma":[0.0009084559,0.000203323,0.0003888071,0.0003095684,0.0004272173,0.0005419941,0.0002313703,0.0007580428,0.0001606993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851923,"about_ca_system_score_gemma":0.0004933009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00446204,"about_ca_topic_score_gemma":0.004285204,"domain_scores_codex":[0.9997934,0.00004641221,0.000008135111,0.00003302595,0.0001024534,0.00001661254],"domain_scores_gemma":[0.9997144,0.0001598057,0.00004027436,0.00002349145,0.00005436793,0.000007679192],"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":[0.00005164506,0.00004250943,0.0002994738,0.0000919241,0.00002081355,0.00004021631,0.00006115167,0.9568337,0.003680199,0.008398362,0.000236446,0.0302436],"study_design_scores_gemma":[0.000003100902,0.00001944212,0.00004418695,0.000002385723,0.000003418802,0.000004082436,0.00000209892,0.9988682,0.0003531307,0.000517274,0.0001812299,0.000001398136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02665059,0.0003181757,0.9673544,0.0001092255,0.00004212622,0.0000432947,0.00003539523,0.0002513195,0.005195515],"genre_scores_gemma":[0.9640969,0.0003322897,0.03293146,0.00002651382,0.00001963126,0.00007624102,0.00004367269,0.00001810313,0.002455119],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00446204,"threshold_uncertainty_score":0.008872151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481424182842237,"score_gpt":0.2539264877265027,"score_spread":0.2291122458980804,"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."}}