{"id":"W2996532480","doi":"10.1109/iecon.2019.8927106","title":"A New Fast Formulation of Model Predictive Control For CHB STATCOM","year":2019,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Redundancy (engineering); Control theory (sociology); Computer science; Voltage; Network topology; Inverter; Heuristic; Topology (electrical circuits); Control (management); Mathematics; 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":[0.00002395934,0.00007029944,0.0001239134,0.00003017884,0.000006754798,0.000005539269,0.00005124797,0.00003728951,0.00008296197],"category_scores_gemma":[0.00000169886,0.00006231655,0.00005098038,0.00002196141,0.000002713753,0.0001229186,0.000004167277,0.00002625696,0.000009789502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002228417,"about_ca_system_score_gemma":0.00001544378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002388888,"about_ca_topic_score_gemma":0.000006139798,"domain_scores_codex":[0.9996271,0.000001640835,0.0001263425,0.00007203881,0.00006291326,0.0001099709],"domain_scores_gemma":[0.9997963,0.00002407826,0.00001760268,0.0000954257,0.00002791749,0.00003870832],"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":[0.00009395905,0.00000887434,0.0008112485,0.00009614518,0.00009823551,4.570634e-8,0.0006576882,0.9414843,0.008032757,0.005461432,0.003871504,0.03938384],"study_design_scores_gemma":[0.001482888,0.0000430312,0.0005234256,0.000009684793,0.00001256837,1.109199e-7,0.00005509342,0.9951577,0.001693283,0.0008654367,0.00008507395,0.00007173982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01350429,0.000009184483,0.9826409,0.00001808145,0.0001108079,0.0004022571,0.00004308099,0.00007023376,0.003201121],"genre_scores_gemma":[0.9940947,0.000001652681,0.004751093,0.00006362751,0.00001571422,0.00001385679,0.000008175443,0.00001429981,0.00103689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805904,"threshold_uncertainty_score":0.2541195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123306958944898,"score_gpt":0.2095693004622736,"score_spread":0.1983362308728246,"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."}}