{"id":"W2113952072","doi":"10.1109/pesc.2004.1355336","title":"Implementation of a dSPACE-based digital controller for a single-phase UPF two-stage boost rectifier","year":2004,"lang":"en","type":"article","venue":"2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"DSPACE; Rectifier (neural networks); MATLAB; Transient (computer programming); Controller (irrigation); Computer science; Control theory (sociology); Small-signal model; Three-phase; Digital control; Single phase; Voltage; Electronic engineering; Topology (electrical circuits); Engineering; Control (management); Electrical engineering; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005310782,0.000496289,0.0004442607,0.0003956084,0.0003128314,0.0009881209,0.001386759,0.0004475929,0.01052885],"category_scores_gemma":[0.0009239475,0.0001997689,0.0002391262,0.0002577406,0.0002337562,0.0004281348,0.0002596066,0.0007135981,0.002318886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920091,"about_ca_system_score_gemma":0.0006040757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007075516,"about_ca_topic_score_gemma":0.0006475099,"domain_scores_codex":[0.9996182,0.00004751566,0.00003218783,0.00008372361,0.0001836693,0.00003472172],"domain_scores_gemma":[0.9995545,0.0001228453,0.0000372729,0.00007760978,0.0001826292,0.00002515141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001226214,0.0007455252,0.001275421,0.00132948,0.0001227377,0.0004160627,0.0004661961,0.0301283,0.3296454,0.00796922,0.006820878,0.6198546],"study_design_scores_gemma":[0.0007862854,0.002259203,0.00245087,0.00008401838,0.0001117003,0.001044752,0.00008465683,0.4062449,0.5407848,0.001900541,0.04415745,0.00009087204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04453213,0.0002643122,0.929031,0.0001510764,0.0002532801,0.0006137237,0.0001667209,0.008144464,0.01684337],"genre_scores_gemma":[0.844166,0.0001739662,0.1422144,0.0001974341,0.00006081864,0.0004185679,0.0001992028,0.0002091643,0.01236039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01052885,"threshold_uncertainty_score":0.03522247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216140258087349,"score_gpt":0.2688301772770529,"score_spread":0.2566687746961794,"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."}}