{"id":"W2142517004","doi":"10.1109/ccece.1999.808186","title":"Fuzzy logic controller for a DC to DC converter","year":2003,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Fuzzy logic; Flyback converter; Computer science; Buck converter; Buck–boost converter; Forward converter; Topology (electrical circuits); Electronic engineering; Control theory (sociology); Boost converter; Controller (irrigation); MATLAB; Logic gate; Power (physics); Voltage; Electrical engineering; Engineering; Control (management); Artificial intelligence; 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":[0.0001973065,0.0004827553,0.0003423931,0.0003706388,0.0006374187,0.000972909,0.0006740764,0.0007060832,0.006551547],"category_scores_gemma":[0.0003728214,0.0001173985,0.00024171,0.0002479512,0.0002433078,0.0003149264,0.0002055618,0.0007539931,0.001590665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450949,"about_ca_system_score_gemma":0.0004454364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947607,"about_ca_topic_score_gemma":0.002581641,"domain_scores_codex":[0.999814,0.00001746799,0.00001119598,0.00003673994,0.00010546,0.00001514956],"domain_scores_gemma":[0.9999149,0.00001780813,0.000006836337,0.00000696757,0.00004777266,0.000005723075],"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":[0.0005987607,0.0004294756,0.0004926507,0.0009633397,0.0001250804,0.00128354,0.0003501656,0.2010412,0.1586019,0.06721244,0.01788093,0.5510205],"study_design_scores_gemma":[0.0002012693,0.0004301643,0.0005861917,0.0001158003,0.00008387304,0.0006007571,0.00004345976,0.8863958,0.03820737,0.01266887,0.06060659,0.00005986692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01844784,0.001328097,0.9149792,0.0004286824,0.0007359755,0.0003417503,0.0001712875,0.003053406,0.06051387],"genre_scores_gemma":[0.784838,0.0009100875,0.1710637,0.0006326224,0.0002134473,0.0004267571,0.0002063155,0.00007804394,0.04163114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006551547,"threshold_uncertainty_score":0.02191705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170937491515285,"score_gpt":0.2373303313106481,"score_spread":0.2156209563954953,"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."}}