{"id":"W2768452929","doi":"10.1109/ecce.2017.8095786","title":"Dual-loop controller for LLC resonant converters using an average equivalent circuit","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Converters; Control theory (sociology); Transfer function; Controller (irrigation); Resonant converter; Loop (graph theory); Operating point; Small-signal model; Power (physics); Equivalent circuit; Electronic engineering; Pole–zero plot; Dual loop; Maximum power transfer theorem; Dual (grammatical number); Point (geometry); RLC circuit; Computer science; Engineering; Capacitor; Physics; Voltage; Control (management); Mathematics; Electrical engineering","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":[0.0002164109,0.000428613,0.0005439602,0.0002792876,0.0003879904,0.0007070421,0.001110859,0.0004625897,0.002338836],"category_scores_gemma":[0.0003300224,0.000179446,0.0003943009,0.0001959968,0.0002459649,0.0004841201,0.0003020027,0.0005853416,0.0004912733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136614,"about_ca_system_score_gemma":0.0003639378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111434,"about_ca_topic_score_gemma":0.001825717,"domain_scores_codex":[0.9997546,0.00002564611,0.0000143414,0.00006720731,0.0001224855,0.00001577212],"domain_scores_gemma":[0.9998676,0.00003256792,0.00002172651,0.00002118649,0.00005034381,0.000006702042],"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":[0.0005278545,0.0003807069,0.001078747,0.0005659009,0.0001739973,0.0002854669,0.0002488707,0.2559644,0.3429473,0.02231449,0.00436603,0.3711462],"study_design_scores_gemma":[0.00004163135,0.0002617008,0.0003302524,0.00001548447,0.0000418732,0.0001804037,0.00001142954,0.9646589,0.02568039,0.001564132,0.007193876,0.00001993049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01835266,0.0002324999,0.974471,0.0000681513,0.00008078015,0.00006852415,0.00004703379,0.00107843,0.005600854],"genre_scores_gemma":[0.8809083,0.0001849654,0.1141763,0.00009769473,0.00005691054,0.0001289563,0.00008533854,0.00005837793,0.00430307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002338836,"threshold_uncertainty_score":0.007824183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06639125689125036,"score_gpt":0.2919564822089631,"score_spread":0.2255652253177127,"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."}}