{"id":"W4403446396","doi":"10.1109/tpel.2024.3481452","title":"Optimal Voltage Level-Based Sequential Predictive Current Control With Reduced Complexity for Multilevel Inverters","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","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; Current (fluid); Control theory (sociology); Voltage; Computer science; Control (management); Electronic engineering; Engineering; Electrical engineering; 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":[0.0003263944,0.0004462637,0.0004402238,0.0003217747,0.000240359,0.0006747228,0.0006800872,0.0003320147,0.001784482],"category_scores_gemma":[0.0005995647,0.0002291966,0.000292507,0.0004239395,0.0003499857,0.0005183553,0.0003524013,0.0005874176,0.0002032201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602663,"about_ca_system_score_gemma":0.0006436052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538749,"about_ca_topic_score_gemma":0.004828592,"domain_scores_codex":[0.9997512,0.0000366463,0.00001497989,0.0000354632,0.0001415228,0.00002028198],"domain_scores_gemma":[0.9998111,0.00006561699,0.0000399573,0.00001832551,0.0000568883,0.000008194137],"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":[0.0001315998,0.00008945105,0.0004353703,0.0002640808,0.00003953635,0.00008115041,0.0001546021,0.7342385,0.0185133,0.02201432,0.002044284,0.2219938],"study_design_scores_gemma":[0.00000643519,0.00003659187,0.0000630037,0.000004394147,0.000003857314,0.000007531029,0.000003015555,0.9975659,0.0009605713,0.0008841137,0.0004616129,0.000002970811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01294616,0.0002170515,0.9821936,0.0000685084,0.00003674896,0.0000385758,0.00002164879,0.000323019,0.004154657],"genre_scores_gemma":[0.8778256,0.0002029217,0.1203101,0.00005344043,0.00003940913,0.0000867797,0.00005735371,0.00003638636,0.001388052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003538749,"threshold_uncertainty_score":0.007036328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157252840109016,"score_gpt":0.2575146442366156,"score_spread":0.2259421158355254,"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."}}