{"id":"W4361298173","doi":"10.18280/jesa.560111","title":"A Comparison of the Response and Voltage Regulation Performance of the Single-Channel DC/DC Boost Converter Circuit with Artificial Neural Networks, Fuzzy Logic and PID Controllers","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Fuzzy logic; Artificial neural network; Voltage; Computer science; Control engineering; Engineering; Control (management); Electrical engineering; Artificial intelligence; Temperature control","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":[0.0004741584,0.0003036947,0.0004197561,0.0004953069,0.0001970892,0.0005418822,0.0004542254,0.0004386285,0.0031226],"category_scores_gemma":[0.001348378,0.00008217846,0.0002585511,0.0003482799,0.0001695358,0.000381243,0.0001176098,0.0003671556,0.0004381385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947277,"about_ca_system_score_gemma":0.0003795461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093525,"about_ca_topic_score_gemma":0.000882249,"domain_scores_codex":[0.9996592,0.00004850234,0.00002195438,0.00005854965,0.0001721223,0.00003980937],"domain_scores_gemma":[0.9994236,0.0002122784,0.00002982659,0.00007712068,0.0002282103,0.00002906724],"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":[0.00282816,0.0007437539,0.004550776,0.001148993,0.0001663702,0.0003520775,0.000367299,0.07772599,0.2811631,0.004737199,0.002630562,0.6235857],"study_design_scores_gemma":[0.0001762762,0.003282418,0.01249533,0.00008188228,0.0001182146,0.0007456722,0.0002046927,0.5999848,0.3723157,0.001501056,0.009029925,0.0000640875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6671368,0.00132027,0.2999962,0.0003134341,0.0005379022,0.0003431007,0.0002408634,0.002972168,0.02713912],"genre_scores_gemma":[0.9818515,0.0002005165,0.01456948,0.00004310156,0.000009798358,0.00004608458,0.00006124851,0.00003329763,0.003184944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0031226,"threshold_uncertainty_score":0.01044613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729096986513783,"score_gpt":0.2336062403334434,"score_spread":0.2063152704683056,"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."}}