{"id":"W3138986221","doi":"10.18280/jesa.540112","title":"A Novel Identification Approach for Classic Controller Design Applied on Flyback Converter","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flyback transformer; Control theory (sociology); Controller (irrigation); Flyback converter; Computer science; Control engineering; Identification (biology); Open-loop controller; Linearization; Electronic engineering; Engineering; Boost converter; Voltage; Control (management); Nonlinear system; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000375169,0.0006958062,0.000583939,0.000625381,0.0005073816,0.0007754623,0.0008152397,0.000697333,0.003055092],"category_scores_gemma":[0.0005210094,0.0002793875,0.000472369,0.0002842108,0.000393712,0.0007989141,0.0005900855,0.0007476292,0.0005834444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000442459,"about_ca_system_score_gemma":0.0006254051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945122,"about_ca_topic_score_gemma":0.001643496,"domain_scores_codex":[0.9995114,0.00005459639,0.00003270288,0.0001318137,0.0002417691,0.00002782566],"domain_scores_gemma":[0.9997776,0.00004887912,0.00001762915,0.00002574332,0.0001224147,0.000007728677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001366621,0.0001021257,0.0006434614,0.0008804884,0.0001193947,0.0003161447,0.0003662809,0.1193668,0.1087528,0.03999073,0.003265452,0.7260596],"study_design_scores_gemma":[0.00006870521,0.0003480955,0.0008039469,0.00008349418,0.00006771406,0.0005993498,0.00008274012,0.9157006,0.03782539,0.008341989,0.03601443,0.00006360607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001555767,0.0002970875,0.9956551,0.00002426521,0.00006401427,0.00004601471,0.000008944125,0.0003518228,0.001997052],"genre_scores_gemma":[0.4205899,0.001271979,0.5641536,0.0002500881,0.0001934188,0.0004324758,0.0001565432,0.0001339868,0.01281797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003055092,"threshold_uncertainty_score":0.01022029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929450630651445,"score_gpt":0.2392852145085961,"score_spread":0.2099907082020817,"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."}}