{"id":"W1782208292","doi":"10.1109/iecon.1997.671031","title":"Observer-based speed tracking control of a permanent magnet synchronous motor","year":2002,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Observer (physics); Permanent magnet synchronous motor; Acceleration; Tracking (education); Synchronous motor; Linearization; Computer science; Control engineering; Feedback linearization; Machine control; Lyapunov stability; Magnet; Control (management); Engineering; Nonlinear system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968682,0.0003799936,0.0005075654,0.0002043473,0.0002153078,0.000747479,0.0004881937,0.0006298516,0.001254794],"category_scores_gemma":[0.0007104811,0.0001817517,0.000223089,0.0001880216,0.000342745,0.0004397002,0.0002576713,0.0004843366,0.0003457885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002518059,"about_ca_system_score_gemma":0.0003639273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787515,"about_ca_topic_score_gemma":0.001319135,"domain_scores_codex":[0.9998802,0.00002143499,0.000008040466,0.00001842079,0.00005554481,0.00001635254],"domain_scores_gemma":[0.9997545,0.00007307916,0.00005856785,0.00001673781,0.00008599537,0.0000111108],"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":[0.0005306072,0.0001383487,0.0007961924,0.0008021861,0.00007760501,0.000488123,0.0002679773,0.6626639,0.1156396,0.0324483,0.002811258,0.1833359],"study_design_scores_gemma":[0.00003230446,0.0001826263,0.0002815484,0.000008757206,0.00001575448,0.00003739565,0.000007809603,0.9901839,0.006108973,0.00122628,0.001905126,0.000009503211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02869413,0.0004056711,0.9642739,0.00009613006,0.0001531751,0.00003553527,0.00002411956,0.0006913847,0.005625978],"genre_scores_gemma":[0.9715254,0.0003891419,0.02277436,0.00003242956,0.00005388491,0.0000583115,0.00005313116,0.00003077223,0.005082667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001787515,"threshold_uncertainty_score":0.004197717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497077960925547,"score_gpt":0.1887533664801957,"score_spread":0.1737825868709403,"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."}}