{"id":"W4408915685","doi":"10.18280/jesa.580219","title":"Improved PMSM Speed Control Using Backstepping: Stability and Performance Analysis","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backstepping; Control theory (sociology); Electronic speed control; Stability (learning theory); Control engineering; Computer science; Control (management); Engineering; Adaptive control; Artificial intelligence; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000690858,0.0003284235,0.0007564864,0.0007122894,0.0002921167,0.0003149149,0.0002496955,0.0001118958,0.00007835547],"category_scores_gemma":[0.0002050708,0.0003022621,0.0002265076,0.001240732,0.00009884965,0.0003947661,0.00003668643,0.0004300699,0.000005030367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587623,"about_ca_system_score_gemma":0.0000827723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002992624,"about_ca_topic_score_gemma":0.0000155575,"domain_scores_codex":[0.997918,0.0001966054,0.0008148323,0.0002671993,0.0002651404,0.0005382773],"domain_scores_gemma":[0.9988242,0.0002386114,0.0002028764,0.0003382225,0.0002059467,0.0001901877],"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":[0.0002419063,0.0001240266,0.3190128,0.001621323,0.01051581,0.0001173944,0.0008545013,0.144324,0.1802102,0.0002254876,0.0002894697,0.342463],"study_design_scores_gemma":[0.0008164191,0.00003823136,0.3550327,0.00008147021,0.0006101265,0.00006956775,0.00002921234,0.6422973,0.0007537375,0.00005208256,0.00004294661,0.0001761689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476634,0.002458672,0.0476125,0.00003838478,0.0003674826,0.0002885862,0.000007169136,0.0003145059,0.001249289],"genre_scores_gemma":[0.9971343,0.0001808535,0.002378949,0.00005527469,0.0001052475,0.000003061375,0.000001056239,0.00003996936,0.0001013218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4979733,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353120514291977,"score_gpt":0.2310807440044471,"score_spread":0.2175495388615273,"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."}}