{"id":"W2056243190","doi":"10.1109/apex.2007.357619","title":"Continuous-Time Digital Signal Processing Based Controller for High-Frequency DC-DC Converters","year":2007,"lang":"en","type":"article","venue":"Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pulse-width modulation; Digital signal processing; Digital control; Converters; Controller (irrigation); Electronic engineering; Transient (computer programming); Voltage; Computer science; Control theory (sociology); Power (physics); Transient response; Buck converter; Electrical engineering; 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":[0.0002443115,0.0003778275,0.0002112505,0.0003170393,0.0002491263,0.0007207834,0.001013075,0.0003877839,0.005083191],"category_scores_gemma":[0.00077535,0.0001235091,0.0001460041,0.0002176374,0.0002581644,0.0004024756,0.0001868041,0.0007208095,0.0009761978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971384,"about_ca_system_score_gemma":0.0003543791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003761963,"about_ca_topic_score_gemma":0.0006712023,"domain_scores_codex":[0.9996396,0.0000359221,0.00002030844,0.00006540558,0.000218602,0.00002021985],"domain_scores_gemma":[0.9996141,0.0001186396,0.00002626109,0.00005448662,0.0001651653,0.00002141845],"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":[0.0004017212,0.0002904673,0.0006601792,0.0006093151,0.00004460717,0.0003113882,0.0001816382,0.01205596,0.4532309,0.01817331,0.007241837,0.5067987],"study_design_scores_gemma":[0.0003361944,0.001870448,0.002678493,0.0001536841,0.00009690617,0.00161601,0.00006550137,0.4413419,0.4354537,0.00772336,0.1085618,0.0001020417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02012334,0.0008405066,0.9606659,0.0001873263,0.0004422494,0.00016855,0.00006695536,0.003026567,0.01447859],"genre_scores_gemma":[0.6970801,0.0006486229,0.2833622,0.0005024993,0.0003437908,0.0003278361,0.0001777818,0.0001562379,0.0174009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005083191,"threshold_uncertainty_score":0.01700503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007041238033482458,"score_gpt":0.2029245039686791,"score_spread":0.1958832659351967,"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."}}