{"id":"W2113658077","doi":"10.1109/tpel.2011.2181871","title":"DC–DC Converter With Digital Adaptive Slope Control in Auxiliary Phase for Optimal Transient Response and Improved Efficiency","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Ripple; Inductor; Buck converter; Transient response; Inductance; Voltage; Settling time; Transient (computer programming); Digital control; Electronic engineering; Engineering; Computer science; Step response; Electrical engineering; Control engineering; Control (management)","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":[0.0001645032,0.0002320939,0.0002250304,0.0002530217,0.0001734735,0.0004789985,0.0005264046,0.0002308241,0.002213621],"category_scores_gemma":[0.0003371568,0.0000891768,0.0001269253,0.0003754875,0.000163256,0.0004145609,0.0002077668,0.0003788834,0.0004405846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463372,"about_ca_system_score_gemma":0.0001638464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002235979,"about_ca_topic_score_gemma":0.0005940248,"domain_scores_codex":[0.9998759,0.00001320671,0.000009431052,0.0000230587,0.00006705643,0.0000112601],"domain_scores_gemma":[0.9998367,0.00003742,0.00002060145,0.00002464453,0.00007226643,0.000008340902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002513873,0.00009029872,0.0005108244,0.0001611933,0.00001359787,0.0001172998,0.00009537446,0.003548865,0.8651294,0.002374281,0.0006102583,0.1270972],"study_design_scores_gemma":[0.0001591408,0.001097654,0.002852554,0.00004026151,0.00006025873,0.001123425,0.00006725561,0.2331747,0.734893,0.001849009,0.02464319,0.0000395751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.297042,0.0007815245,0.6864498,0.0002297601,0.0001755972,0.0001483359,0.00007207713,0.001925654,0.01317528],"genre_scores_gemma":[0.938554,0.0001793664,0.05701005,0.00008820631,0.00004670599,0.00003546007,0.00004676188,0.00004830054,0.003991234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002213621,"threshold_uncertainty_score":0.007405341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007281958612590352,"score_gpt":0.2083453132611841,"score_spread":0.2010633546485937,"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."}}