{"id":"W2105176641","doi":"10.1109/ccece.2004.1345224","title":"Performance of a non linear controller based IPMSM drive","year":2004,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Control theory (sociology); Backstepping; Controller (irrigation); Lyapunov stability; MATLAB; Computer science; Electronic speed control; Nonlinear system; Control engineering; Lyapunov function; Stability (learning theory); Scheme (mathematics); Adaptive control; Synchronous motor; Control (management); Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005944765,0.0001191649,0.0002224702,0.000105286,0.00001580726,0.000004163756,0.00009804844,0.00006081876,0.00006560353],"category_scores_gemma":[0.00001785387,0.0001051834,0.00006683607,0.0001596881,0.0000187077,0.00006187249,0.000004417254,0.00009513104,0.00005526583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005548993,"about_ca_system_score_gemma":0.00002492994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002586706,"about_ca_topic_score_gemma":0.000006036973,"domain_scores_codex":[0.9993526,0.000004622375,0.0002025142,0.00009690851,0.0001367029,0.0002066682],"domain_scores_gemma":[0.9996802,0.00004521881,0.000025942,0.0001475849,0.00004949119,0.00005162794],"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":[0.00006951316,0.00003889855,0.00127143,0.0000576474,0.00006895511,0.000003938052,0.00006473525,0.8938003,0.1004035,0.0001548132,0.0001389576,0.0039273],"study_design_scores_gemma":[0.003168958,0.000125761,0.005002013,0.00002441573,0.00001473044,0.000001137671,0.000004769988,0.8886642,0.102621,0.000008033853,0.0002362543,0.0001287065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713624,0.00005455863,0.01785328,0.00005186772,0.00009500344,0.0002105189,0.000001396561,0.0001739498,0.01019699],"genre_scores_gemma":[0.9956446,0.00001137677,0.004022007,0.00009134778,0.00005974091,0.00001281338,0.000001252673,0.00002392342,0.0001329427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02428216,"threshold_uncertainty_score":0.4289256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004501244125992886,"score_gpt":0.1864755150928969,"score_spread":0.181974270966904,"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."}}