{"id":"W2144059956","doi":"10.1109/pesc.2005.1582021","title":"A New Digital Control Algorithm to Achieve Optimal Dynamic Performance in DC-to-DC Converters","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Converters; Control theory (sociology); Overshoot (microwave communication); Duty cycle; Transient response; Transient (computer programming); PID controller; Computer science; Voltage; Capacitor; Controller (irrigation); Digital control; SIGNAL (programming language); Small-signal model; Algorithm; Electronic engineering; Engineering; Control engineering; Control (management); Electrical engineering; Temperature control","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":[0.00004154362,0.0002829442,0.0002926951,0.0002237424,0.00002494995,0.00007370269,0.0002349,0.00007263142,0.00007759853],"category_scores_gemma":[0.000007489827,0.0002973853,0.00005993944,0.0003325107,0.00001686493,0.0005248419,0.00004524265,0.000173891,0.0005950829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832926,"about_ca_system_score_gemma":0.00002753402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008382816,"about_ca_topic_score_gemma":0.00009691633,"domain_scores_codex":[0.9986182,0.000005704544,0.0003175277,0.000305004,0.000188135,0.000565386],"domain_scores_gemma":[0.9994249,0.00004096223,0.00001760845,0.0002610858,0.00002162099,0.0002337896],"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":[0.00007252453,0.00002510962,0.001478507,0.00001989738,0.00002986366,0.00002891364,0.0001817548,0.1806945,0.002080362,0.00004813891,0.001020802,0.8143196],"study_design_scores_gemma":[0.001478074,0.0001439278,0.007976488,0.00002916025,0.000006315465,0.00001350159,0.00006595369,0.9867365,0.0002929487,0.00002882086,0.002794446,0.0004338967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09402012,0.00002717833,0.9024482,0.0002543733,0.0002864278,0.0004135615,0.00002474116,0.0003949989,0.002130377],"genre_scores_gemma":[0.9655972,0.000003589005,0.03206793,0.000343774,0.00006302384,0.0000350653,0.000016027,0.0000618386,0.001811622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.871577,"threshold_uncertainty_score":0.9999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002063399643420362,"score_gpt":0.1797128849556915,"score_spread":0.1776494853122711,"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."}}