{"id":"W2102824716","doi":"10.1109/ccece.1995.528136","title":"Real-time nonlinear control of a permanent-magnet synchronous motor with the aid of a DSP","year":2002,"lang":"en","type":"article","venue":"","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université Laval","funders":"","keywords":"Digital signal processing; Digital signal processor; Nonlinear system; Computer science; Control engineering; Digital control; Permanent magnet synchronous motor; Control (management); Synchronous motor; Control theory (sociology); Internal model; Machine control; SIGNAL (programming language); Motor control; Magnet; Electronic engineering; Engineering; Computer hardware; Electrical engineering; Physics; Artificial intelligence","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":[0.000084306,0.0001227205,0.0002891248,0.00004331612,0.00001854285,0.000007495859,0.0001495521,0.00004427817,0.000449924],"category_scores_gemma":[0.000005021482,0.00007242967,0.0000633792,0.0001165163,0.00003221236,0.00004118152,0.00000594016,0.00007277186,0.00004174121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001880065,"about_ca_system_score_gemma":0.00001027836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002242785,"about_ca_topic_score_gemma":0.00002342728,"domain_scores_codex":[0.9992961,0.00002193769,0.0002292775,0.00009197901,0.0001605174,0.0002001412],"domain_scores_gemma":[0.9995146,0.00007323011,0.00005472971,0.0002667724,0.00004938277,0.00004123933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003490514,0.0005521433,0.00130261,0.0007276433,0.00178651,0.0000642359,0.003065688,0.01001213,0.9279281,0.001639558,0.03123847,0.02133383],"study_design_scores_gemma":[0.003576012,0.001044109,0.0006492314,0.00006433905,0.0001374759,0.00004840535,0.0001026653,0.9831031,0.005112578,0.000003763038,0.005872475,0.0002858225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685315,0.0040893,0.01008272,0.0004142206,0.0001378931,0.0013803,0.00009550673,0.000382209,0.1148864],"genre_scores_gemma":[0.9975155,0.00005027094,0.0002070353,0.00002293445,0.00006377532,0.00002696348,0.000001021322,0.00002209546,0.002090394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.973091,"threshold_uncertainty_score":0.4926353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002622652060967263,"score_gpt":0.1557962656407502,"score_spread":0.153173613579783,"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."}}