{"id":"W2055725467","doi":"10.1109/tpel.2015.2396033","title":"Finite Control-Set Model Predictive Control (FCS-MPC) of Nested Neutral Point-Clamped (NNPC) Converter","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Rockwell Automation (Canada)","funders":"","keywords":"Control theory (sociology); Capacitor; Model predictive control; Voltage; Engineering; Topology (electrical circuits); Electronic engineering; Computer science; Control (management); 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":[0.0001877709,0.0004411229,0.0005730666,0.0002235176,0.00007281859,0.00003644516,0.0002951974,0.0002693908,0.00009240423],"category_scores_gemma":[0.000005766974,0.0004487351,0.0002794103,0.0002289891,0.00009671744,0.0003448795,8.938909e-7,0.000654311,0.00005455183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003080005,"about_ca_system_score_gemma":0.0002528945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002527336,"about_ca_topic_score_gemma":0.00008865682,"domain_scores_codex":[0.9979317,0.00007438541,0.0005530093,0.0003649343,0.0003257859,0.0007502444],"domain_scores_gemma":[0.9987983,0.0001270915,0.00009063753,0.0004763034,0.0002027413,0.0003049946],"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":[0.001199914,0.0001916578,0.00001711217,0.00003433419,0.0006436638,0.000007651081,0.001669115,0.9856278,0.00646435,0.0001873776,0.001146939,0.002810088],"study_design_scores_gemma":[0.00605588,0.0005850306,0.00003095863,0.00002949344,0.0002108464,0.00001136698,0.0001581392,0.9749948,0.01689477,0.0003714383,0.000243374,0.0004138499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0353683,0.0001887419,0.9613712,0.0001250446,0.0008112426,0.0005448351,0.0002867464,0.0003506306,0.0009532868],"genre_scores_gemma":[0.998738,0.00005907098,0.0001053989,0.0005807865,0.00002066169,0.000105279,0.000012538,0.00009729177,0.0002809639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9633697,"threshold_uncertainty_score":0.9997965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399691974727707,"score_gpt":0.2136065776062824,"score_spread":0.1996096578590054,"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."}}