{"id":"W4413558593","doi":"10.1109/isie62713.2025.11124811","title":"Reinforcement Learning-Based Control for Current Regulation and Capacitor Voltage Balancing in a Four-Level Single Flying Capacitor Converter","year":2025,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Capacitor; Reinforcement learning; Current (fluid); Voltage; Computer science; Control (management); Reinforcement; Electrical engineering; Engineering; Artificial intelligence","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":[0.0005249878,0.0004374309,0.0005189165,0.0002082918,0.0002795164,0.0004461873,0.0007865772,0.0005194012,0.001067603],"category_scores_gemma":[0.001098223,0.0001657266,0.0002626599,0.0001892397,0.0005092436,0.0002993557,0.0004354375,0.0006151276,0.0001163684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006096067,"about_ca_system_score_gemma":0.0006985342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006114815,"about_ca_topic_score_gemma":0.004117388,"domain_scores_codex":[0.9998148,0.00004155646,0.00001150591,0.00004080776,0.00005965544,0.00003152989],"domain_scores_gemma":[0.9996222,0.0001799107,0.000074803,0.0000192276,0.00007843818,0.0000254018],"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":[0.00007820009,0.00006518439,0.0004779357,0.00005203251,0.00002563333,0.00009551105,0.00004929657,0.9445948,0.006492193,0.0039452,0.000449461,0.04367453],"study_design_scores_gemma":[0.000008437495,0.00002086275,0.0000454218,0.000001670175,0.000002953952,0.000006748315,0.00000131331,0.9990125,0.0003952504,0.0004111036,0.00009185164,0.000001904917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092854,0.0003474602,0.8841004,0.0003573711,0.00008203052,0.00008774493,0.00002484305,0.0005029312,0.005211821],"genre_scores_gemma":[0.9784984,0.0000681388,0.02038191,0.00005516186,0.00001405172,0.00003976875,0.00001187599,0.00000800204,0.000922696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006114815,"threshold_uncertainty_score":0.01215845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683224143714138,"score_gpt":0.2199268023653825,"score_spread":0.2030945609282412,"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."}}