{"id":"W2776120942","doi":"10.1109/tie.2017.2784348","title":"Optimal Feedback Linearization Control of Interior PM Synchronous Motors Subject to Time-Varying Operation Conditions Minimizing Power Loss","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Control theory (sociology); Torque; Feedback linearization; Optimal control; Linearization; Operating point; Linear-quadratic regulator; Direct torque control; Controller (irrigation); Engineering; Control engineering; Computer science; Voltage; Mathematics; Induction motor; Nonlinear system; Mathematical optimization; Physics; Control (management)","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":[0.0003742559,0.0005149419,0.0003868502,0.0002029384,0.000241901,0.0005371363,0.0004136827,0.0002026853,0.00092328],"category_scores_gemma":[0.0006003684,0.0001890248,0.0002314299,0.0001882779,0.000567979,0.0004002183,0.0003983946,0.0003714679,0.0001759979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527376,"about_ca_system_score_gemma":0.0005046512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524632,"about_ca_topic_score_gemma":0.001402903,"domain_scores_codex":[0.9997438,0.00006336601,0.00001175884,0.00005220266,0.00009252618,0.00003637146],"domain_scores_gemma":[0.9997709,0.00007426619,0.00008087137,0.00001365029,0.00005194663,0.000008245639],"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":[0.0003075431,0.0001548541,0.000649429,0.0005102724,0.00004963919,0.000215376,0.0004979507,0.7457365,0.1016246,0.03654334,0.002017608,0.1116929],"study_design_scores_gemma":[0.000026093,0.0002308384,0.0002932455,0.000009206023,0.00001296546,0.00002763763,0.00002900639,0.9868653,0.008128395,0.003360986,0.0010059,0.00001049691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0542313,0.0001823617,0.9388045,0.0001180911,0.00003610057,0.00003886961,0.00001857402,0.0003365317,0.006233677],"genre_scores_gemma":[0.9749174,0.0001250931,0.02292211,0.00002544228,0.00001543965,0.0000451104,0.00001859761,0.00002104015,0.001909817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001524632,"threshold_uncertainty_score":0.003088653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273122750119867,"score_gpt":0.2343221371555547,"score_spread":0.221590909654356,"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."}}