{"id":"W3118240248","doi":"10.1109/tste.2021.3050783","title":"Robust Hamiltonian Energy Control Based on Lyapunov Function for Four-Phase Parallel Fuel Cell Boost Converter for DC Microgrid Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"Microgrid; Converters; Boost converter; Control theory (sociology); Engineering; Computer science; Voltage; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001263267,0.0004193583,0.0003999734,0.000316576,0.0004526321,0.0001352189,0.0001651144,0.0002653471,0.0001420035],"category_scores_gemma":[0.000005170267,0.000467651,0.0003806478,0.0004049492,0.00004912005,0.0002088008,0.000001262075,0.0001585879,0.000006533563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099411,"about_ca_system_score_gemma":0.0002034479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007639921,"about_ca_topic_score_gemma":0.0001470274,"domain_scores_codex":[0.9980252,0.00004884137,0.0004540407,0.0005592355,0.0001768052,0.0007358777],"domain_scores_gemma":[0.9983735,0.0002851959,0.00008461069,0.0005154559,0.000551971,0.0001892481],"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":[0.0007713138,0.0005275247,3.420553e-7,0.0002950637,0.0001414644,0.000009419754,0.00002232328,0.9660374,0.00402965,0.001192761,0.002292995,0.02467978],"study_design_scores_gemma":[0.007580688,0.0003246953,8.888404e-7,0.00001359463,0.0001983316,0.000003871478,0.0001753857,0.6418018,0.01646981,0.0002582749,0.3328039,0.000368779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002592917,0.001031892,0.995748,0.000359682,0.0005345444,0.0007986935,0.0003342323,0.0003658407,0.000801151],"genre_scores_gemma":[0.9698715,0.0006587943,0.008154447,0.002239552,0.0004028669,0.007870921,0.0005498676,0.0002289801,0.01002312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9875936,"threshold_uncertainty_score":0.9997775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007944515596127542,"score_gpt":0.1880217189233847,"score_spread":0.1800772033272572,"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."}}