{"id":"W2891097884","doi":"10.1109/compel.2018.8460103","title":"Application of Model Predictive Control in Modular Multilevel Converter for MTPA operation and SOC Balancing","year":2018,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Modular design; Robustness (evolution); Model predictive control; Torque; Voltage; Computer science; Engineering; Control (management); Control 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":[],"consensus_categories":[],"category_scores_codex":[0.0001160887,0.00005360245,0.00009732829,0.00003640902,0.00001978475,0.00000642198,0.00001951703,0.0000595225,0.000002025393],"category_scores_gemma":[0.00000603815,0.00004959578,0.000009945345,0.00002013904,0.00001315455,0.0001100861,0.000003172884,0.00002734007,0.000001601448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000287687,"about_ca_system_score_gemma":0.000004808358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008227211,"about_ca_topic_score_gemma":0.0000454963,"domain_scores_codex":[0.999642,0.000005935337,0.0001502672,0.00009152,0.00003983698,0.00007050241],"domain_scores_gemma":[0.9998441,0.00001191384,0.00001733951,0.00006213473,0.00004905755,0.00001550442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005962617,0.00001989354,0.001441494,0.0001774943,0.00003222636,4.049874e-8,0.001441307,0.3622108,0.610123,0.001159741,0.00007242473,0.02326201],"study_design_scores_gemma":[0.0008362533,0.00004807813,0.001913565,0.00001191015,0.000004261537,4.615858e-7,0.00004984267,0.9868868,0.01001148,0.0001525461,0.00003311662,0.00005167718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08417865,0.00001783198,0.9148671,0.000009989523,0.00003580088,0.000667694,0.00001393522,0.00004012791,0.0001688648],"genre_scores_gemma":[0.9970137,0.000002002211,0.002647708,0.00001675148,0.00005352868,0.0002344657,0.000004033979,0.000009593632,0.00001816048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128351,"threshold_uncertainty_score":0.2022457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007706748568439495,"score_gpt":0.2210084754710019,"score_spread":0.2133017269025624,"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."}}