{"id":"W2353591114","doi":"","title":"Optimal dynamic control based on capacitor charge balance for Boost converter","year":2011,"lang":"en","type":"article","venue":"Dianli zidonghua shebei","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Duty cycle; Overshoot (microwave communication); Capacitor; MATLAB; Voltage; Charge control; Nonlinear system; Dynamic balance; Computer science; Engineering; Control (management); Electrical engineering; Physics; Power (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":[0.0002338413,0.000408254,0.0003672887,0.0002320023,0.0003464143,0.0007345242,0.0004167076,0.0002094579,0.001054958],"category_scores_gemma":[0.00035117,0.0001599074,0.0001855931,0.0002468402,0.0003958108,0.0003039646,0.000263499,0.0003338821,0.0001204348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403728,"about_ca_system_score_gemma":0.0006802139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003934176,"about_ca_topic_score_gemma":0.004394026,"domain_scores_codex":[0.9998348,0.00001868164,0.00000924184,0.00004252135,0.00007321814,0.00002148669],"domain_scores_gemma":[0.9999042,0.00002572047,0.00001768372,0.000005345461,0.00004054281,0.000006588317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006127714,0.0002583275,0.001300904,0.0005738755,0.00008390194,0.0002638317,0.0003497997,0.4380319,0.1738641,0.0276633,0.003228554,0.3537688],"study_design_scores_gemma":[0.0000711778,0.0001845638,0.0006214982,0.00001144581,0.00002542991,0.00005356007,0.00001882145,0.9826717,0.01261211,0.001880382,0.001829915,0.00001941031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06752632,0.000530369,0.9177797,0.0002114353,0.0001603562,0.0001078665,0.00002579054,0.0006607288,0.01299749],"genre_scores_gemma":[0.9825673,0.0001550463,0.01510497,0.00005122017,0.00002365698,0.00004973627,0.00001295141,0.00001134786,0.002023964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003934176,"threshold_uncertainty_score":0.007822573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184348662372298,"score_gpt":0.208078717321095,"score_spread":0.196235230697372,"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."}}