{"id":"W4415820880","doi":"10.1109/tetci.2025.3619574","title":"On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Inverter; Photovoltaic system; Voltage; Power (physics); Grid; Maximum power point tracking; Stability (learning theory)","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":[0.0004085748,0.0003893232,0.0003975256,0.0001339866,0.0002214609,0.0004799135,0.0005852339,0.0003305953,0.0008662037],"category_scores_gemma":[0.0008104302,0.000123376,0.000191341,0.000124521,0.000350616,0.0002050132,0.0003504077,0.0004233567,0.0001405716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723632,"about_ca_system_score_gemma":0.0003462696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821558,"about_ca_topic_score_gemma":0.00245537,"domain_scores_codex":[0.9997883,0.0000437753,0.0000118857,0.00005668165,0.00006141989,0.00003792532],"domain_scores_gemma":[0.9996811,0.0001136693,0.00008644655,0.0000315504,0.00007377951,0.00001346454],"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":[0.000196389,0.0001186557,0.001057343,0.00009571288,0.00004833587,0.0001593161,0.00007390463,0.9065788,0.01451335,0.002887038,0.0007784456,0.07349268],"study_design_scores_gemma":[0.000009640058,0.00004659963,0.0001581603,0.000002735445,0.000004761061,0.00001006563,0.000002614931,0.9979699,0.0013472,0.0002778689,0.0001680584,0.000002331371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1333551,0.0003375368,0.8564271,0.000213814,0.00008047581,0.00007231142,0.00002655517,0.0009030992,0.00858405],"genre_scores_gemma":[0.9929466,0.00003527965,0.006273415,0.00002757186,0.000006523976,0.0000202897,0.00001059078,0.000007890406,0.0006718499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002821558,"threshold_uncertainty_score":0.005610287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179370340311786,"score_gpt":0.2522102950379774,"score_spread":0.2404165916348595,"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."}}