{"id":"W2008563459","doi":"10.1109/icit.2009.4939573","title":"Robust cascaded nonlinear predictive control of a permanent magnet synchronous motor","year":2009,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Control theory (sociology); Offset (computer science); Model predictive control; Nonlinear system; Torque; Synchronous motor; Trajectory; Permanent magnet synchronous motor; Computer science; Control engineering; Taylor series; Machine control; Engineering; Magnet; Control (management); Mathematics; Physics","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":[0.00007870666,0.0002100116,0.0003675429,0.0001419637,0.00002261585,0.00001295872,0.0001661339,0.0001109305,0.0001957975],"category_scores_gemma":[0.00003826055,0.0001939448,0.0001096295,0.0001466706,0.00002660432,0.00008861144,0.000005589604,0.0001680442,0.0000281127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101382,"about_ca_system_score_gemma":0.00002460951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003027827,"about_ca_topic_score_gemma":0.000005436234,"domain_scores_codex":[0.9988741,0.00002301834,0.0003398718,0.0001870609,0.0002247919,0.0003512127],"domain_scores_gemma":[0.999417,0.00008865588,0.00004627808,0.0002574749,0.00007490269,0.000115657],"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":[0.0005881785,0.0004673725,0.0006830285,0.0001420036,0.0006443798,0.0001428527,0.0006669744,0.7428914,0.2191269,0.000925968,0.005149042,0.0285718],"study_design_scores_gemma":[0.002141533,0.0006573572,0.008966445,0.00001762226,0.00007458679,0.00002344865,0.00003424186,0.9819082,0.005472179,0.00002378132,0.000447438,0.0002331602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8341991,0.002513399,0.1255344,0.0004244206,0.0004639966,0.00179844,0.0001357157,0.001297653,0.03363287],"genre_scores_gemma":[0.9973144,0.00003893693,0.002016759,0.0001398208,0.0001932521,0.0000153772,0.000006622094,0.00002796315,0.0002468718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2390168,"threshold_uncertainty_score":0.7908837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00644304054311247,"score_gpt":0.1832364346606718,"score_spread":0.1767933941175593,"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."}}