{"id":"W3102444531","doi":"10.1109/iecon43393.2020.9254867","title":"Intelligent Harmonic Suppressor by Adaptive Fuzzy Controller for PEC9 Inverter under Unknown Nonlinear Loads","year":2020,"lang":"en","type":"article","venue":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Control theory (sociology); Nonlinear system; Harmonic; Fuzzy logic; Controller (irrigation); Inverter; Harmonic analysis; Suppressor; Fuzzy control system; Computer science; Control engineering; Engineering; Electronic engineering; Control (management); Voltage; Physics; Artificial intelligence; Electrical engineering; Acoustics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003161588,0.0004514112,0.0006049166,0.0000146642,0.000205362,0.0001069095,0.001186156,0.0004207269,0.000104968],"category_scores_gemma":[0.00006992221,0.000308904,0.0006669943,0.0002531046,0.0002756717,0.0002037356,0.0001088082,0.001182674,0.00001822431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002228494,"about_ca_system_score_gemma":0.0004542603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005935636,"about_ca_topic_score_gemma":0.00002847331,"domain_scores_codex":[0.9976842,0.0001239899,0.0006286273,0.0004248133,0.0003723144,0.0007660357],"domain_scores_gemma":[0.9986454,0.0002647765,0.0002228938,0.000373935,0.0002853521,0.0002076028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001160332,0.0001361384,0.0000337604,0.00010872,0.002332389,7.734502e-7,0.01033931,0.01163982,0.04352579,0.001484629,0.8914951,0.03774324],"study_design_scores_gemma":[0.003010271,0.0004115961,0.000004398279,0.00004523474,0.0002118938,0.000002056058,0.002255484,0.8673887,0.08642448,0.0008219056,0.03894843,0.000475495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4555385,0.008323297,0.3891538,0.1037205,0.01357801,0.01702946,0.00891659,0.001363656,0.002376115],"genre_scores_gemma":[0.9954347,0.0003013014,0.00007977898,0.003005059,0.0005521019,0.0001025093,0.00002721974,0.00006890256,0.0004284401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.855749,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131494121527416,"score_gpt":0.2325170337826463,"score_spread":0.1812020925673721,"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."}}