{"id":"W4387411762","doi":"10.1109/icrera59003.2023.10269397","title":"Nonlinear Programming Optimization Towards Optimal Transition Design in Model Free Predictive Control","year":2023,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Lookup table; Robustness (evolution); Model predictive control; Pulse-width modulation; Nonlinear system; Optimal control; Integrator; Computer science; Voltage; Nonlinear programming; Linear programming; Optimization problem; Control engineering; Mathematical optimization; Engineering; Control (management); Algorithm; Mathematics","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":[0.0006490462,0.0007481937,0.0006558842,0.0003350293,0.0002838617,0.0008912159,0.0005092142,0.0007511192,0.001522755],"category_scores_gemma":[0.001410371,0.0005067576,0.0004490658,0.0003784493,0.0008004248,0.0005673976,0.0007012529,0.001004875,0.000202051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286333,"about_ca_system_score_gemma":0.0009389825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985776,"about_ca_topic_score_gemma":0.001865465,"domain_scores_codex":[0.9997455,0.0001041604,0.000008231178,0.00004301934,0.0000690567,0.00003005068],"domain_scores_gemma":[0.9996586,0.0002240283,0.00003423376,0.00001476139,0.00005867879,0.000009751756],"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":[0.00002629314,0.00001777595,0.00007310103,0.00004767756,0.000006942428,0.0000335987,0.00003752418,0.9760977,0.001064579,0.01273292,0.0002808215,0.009580967],"study_design_scores_gemma":[0.000002566517,0.00001086197,0.00001301228,0.00000244818,0.000001258805,0.00000221251,0.000002256307,0.9981614,0.0001523521,0.00150394,0.0001465531,0.000001271234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009841468,0.000164658,0.9864205,0.00009256598,0.00001378474,0.00002974339,0.00001334287,0.0001218234,0.003302195],"genre_scores_gemma":[0.8361444,0.0003555171,0.1590067,0.00009258813,0.00002932294,0.0002841704,0.00006562972,0.00008097976,0.003940721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002985776,"threshold_uncertainty_score":0.005936801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954324641016309,"score_gpt":0.2170808497297456,"score_spread":0.1975376033195826,"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."}}