{"id":"W3194765324","doi":"10.3389/fenrg.2021.729034","title":"Recent Advances in Model Predictive and Sliding Mode Current Control Techniques of Multiphase Induction Machines","year":2021,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Agencia Estatal de Investigación; Consejo Nacional de Ciencia y Tecnología","keywords":"Benchmark (surveying); Model predictive control; Control theory (sociology); Sliding mode control; Nonlinear system; Computer science; Transient (computer programming); Control engineering; Field (mathematics); Stability (learning theory); Engineering; Control (management); Artificial intelligence; Machine learning","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":[0.0002989652,0.0001136345,0.0002355712,0.000432297,0.00003021751,0.0000145542,0.0001027753,0.00008369955,0.000003804359],"category_scores_gemma":[0.00005609764,0.000116145,0.00002393678,0.0003509317,0.00007053206,0.0002568047,0.00004318729,0.0003263719,7.496042e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786957,"about_ca_system_score_gemma":0.00004903011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006508327,"about_ca_topic_score_gemma":0.0001346051,"domain_scores_codex":[0.9988587,0.0001303451,0.0002439407,0.0002332663,0.0002457637,0.0002879902],"domain_scores_gemma":[0.9996213,0.00003994038,0.00001999922,0.0001431275,0.0001150651,0.00006055841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008596991,0.00006097406,0.005491222,0.00007606467,0.0000150482,0.000007510822,0.0003932719,0.1415477,0.003796804,0.000145225,0.0004726021,0.8479077],"study_design_scores_gemma":[0.0006276834,0.00002104293,0.0001683733,0.0001400452,0.000002762495,0.000001220146,0.0003463888,0.9828543,0.0119072,0.001581506,0.002247703,0.0001017825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03270394,0.05560213,0.910066,0.00007154723,0.000571781,0.0002079124,0.00003938852,0.00006521219,0.0006720872],"genre_scores_gemma":[0.9280856,0.06715881,0.004546206,0.000008239815,0.0000328061,0.0001152686,0.00001137871,0.00001961608,0.00002208177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9055198,"threshold_uncertainty_score":0.4736256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830234109456825,"score_gpt":0.3201558130018827,"score_spread":0.2918534719073145,"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."}}