{"id":"W2994773019","doi":"10.1109/iecon.2019.8927684","title":"Adaptive Neural Fuzzy Inference System Controller for Seven-Level Packed U-Cell Inverter","year":2019,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Control theory (sociology); Total harmonic distortion; Overshoot (microwave communication); Ripple; Capacitor; Transient (computer programming); Controller (irrigation); Adaptive neuro fuzzy inference system; Inverter; PID controller; Decoupling capacitor; Computer science; Voltage; Fuzzy logic; Engineering; Fuzzy control system; Control engineering; Electrical engineering; Temperature control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000813087,0.0002702227,0.0003707253,0.00007372817,0.00003835988,0.00004973706,0.000217033,0.0001269583,0.00009951001],"category_scores_gemma":[0.000005099655,0.0002276362,0.0001442298,0.00007301648,0.00002083159,0.0002064993,0.00003098515,0.0001316198,0.0005148846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009335077,"about_ca_system_score_gemma":0.00001925755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000566531,"about_ca_topic_score_gemma":0.00002259256,"domain_scores_codex":[0.9988608,0.00002068193,0.0002877219,0.000269982,0.0001503638,0.0004104931],"domain_scores_gemma":[0.9993737,0.0001274624,0.00003941337,0.0002561351,0.00007910753,0.000124123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002165259,0.0004979559,0.01798384,0.006938588,0.00256103,0.0000587595,0.01047844,0.03975311,0.1068727,0.06499441,0.2047291,0.5429667],"study_design_scores_gemma":[0.002449909,0.00007389629,0.0007650596,0.00003934614,0.00002328084,0.000002689783,0.0007805853,0.993236,0.001580942,0.00009095861,0.0006142829,0.0003430677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3589244,0.0001784024,0.5347279,0.0002145235,0.004515481,0.00411127,0.0002892362,0.001782383,0.09525646],"genre_scores_gemma":[0.9952814,0.000002895427,0.000855087,0.0004741272,0.00006524258,0.0001189654,0.00001142135,0.0000511755,0.003139696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9534829,"threshold_uncertainty_score":0.9282737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521829306588968,"score_gpt":0.2100263248332706,"score_spread":0.1848080317673809,"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."}}