{"id":"W4417439155","doi":"10.1109/tia.2025.3644989","title":"Local Dynamic Estimation-Based Robust Model-Free Predictive Control for PMSM Drives","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Model predictive control; Test bench; Estimator; Observer (physics); Controller (irrigation); Estimation theory; Robustness (evolution); Nonlinear system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008338482,0.0002696869,0.0002606589,0.0003648337,0.0003118741,0.00003997122,0.0003542811,0.0004758104,0.00003258841],"category_scores_gemma":[0.00001237726,0.0003135392,0.0001529683,0.0005857031,0.00011146,0.0001197311,6.837002e-7,0.0007179024,0.00001756032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875118,"about_ca_system_score_gemma":0.0001834885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007310675,"about_ca_topic_score_gemma":0.00002618815,"domain_scores_codex":[0.9987546,0.00002168842,0.0003766118,0.0003469254,0.0001643804,0.0003358292],"domain_scores_gemma":[0.9985069,0.0005268886,0.00005139074,0.0006649806,0.0001372484,0.0001125798],"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":[0.00004878175,0.0001258603,0.000002543444,0.00004225398,0.0001556552,1.80772e-7,0.00001564193,0.9811429,0.0006630269,0.0008422007,0.0006852918,0.01627563],"study_design_scores_gemma":[0.001975679,0.00004430195,0.00004609918,0.0000402144,0.000218771,8.701372e-7,0.0000334131,0.9904824,0.005005783,0.001602955,0.000323597,0.0002259025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007323812,0.00004657642,0.9939656,0.0008906888,0.0001783402,0.002033637,0.0006677054,0.0007332003,0.0007519234],"genre_scores_gemma":[0.9797887,0.000005306941,0.01235209,0.0002068477,0.00002576872,0.007067707,0.00002553312,0.0000506914,0.0004773093],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9816135,"threshold_uncertainty_score":0.9999317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007609909044662399,"score_gpt":0.2306286045864032,"score_spread":0.2230186955417408,"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."}}