{"id":"W2170536847","doi":"10.1109/apec.2003.1179336","title":"An adaptive current mode fuzzy logic controller for DC-to-DC converters","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Inductor; Converters; Robustness (evolution); Boost converter; Transient response; Computer science; Nonlinear system; Fuzzy logic; Engineering; Voltage; Electronic engineering; Physics","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":[0.0003457208,0.0005504209,0.0003580697,0.0003286708,0.0003634279,0.0005935608,0.001167188,0.0006715277,0.001415451],"category_scores_gemma":[0.0005801829,0.0001436223,0.0002756155,0.0002245902,0.0003592412,0.0004982879,0.0002712136,0.0007135923,0.000290769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004176921,"about_ca_system_score_gemma":0.000398071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769394,"about_ca_topic_score_gemma":0.003005696,"domain_scores_codex":[0.9997596,0.00002328625,0.00001769713,0.00005567694,0.0001241847,0.00001963262],"domain_scores_gemma":[0.9998232,0.000039223,0.00002210893,0.00001058465,0.0000948105,0.00001030323],"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":[0.0004637945,0.0002995591,0.0007154637,0.0006227405,0.00009570202,0.0006711853,0.0002881436,0.2175382,0.1174961,0.01878436,0.005383451,0.6376413],"study_design_scores_gemma":[0.000109614,0.0002510685,0.0003864346,0.00002752586,0.00003822546,0.0001661737,0.00001453797,0.9742373,0.01447265,0.001928776,0.008340232,0.00002752122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0140533,0.0005743047,0.9774738,0.0001481613,0.0002625943,0.0001039253,0.00002849416,0.0009847926,0.00637062],"genre_scores_gemma":[0.8281032,0.0005498354,0.1641903,0.0002996379,0.0001519586,0.0002512131,0.00007461266,0.00003631856,0.006342911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002769394,"threshold_uncertainty_score":0.005506575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042991830124436,"score_gpt":0.273488429922139,"score_spread":0.2530585116208946,"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."}}