{"id":"W4285173915","doi":"10.1109/tmech.2022.3181176","title":"Dynamical Delay Unification of Disturbance Observation Techniques for PMSM Drives Control","year":2022,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Nazarbayev University","keywords":"Unification; Disturbance (geology); Robustness (evolution); Control theory (sociology); Control engineering; Computer science; Realization (probability); Active disturbance rejection control; Control (management); Engineering; State observer; Mathematics; Artificial intelligence; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326759,0.0005214995,0.0002992341,0.000394506,0.0001877047,0.0006736035,0.0004625727,0.0003881832,0.0009130859],"category_scores_gemma":[0.001245415,0.0001753957,0.0003132868,0.0003964391,0.0004168657,0.0008754794,0.0004529831,0.0008861046,0.000196643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004286802,"about_ca_system_score_gemma":0.0003717751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005481769,"about_ca_topic_score_gemma":0.000549585,"domain_scores_codex":[0.9995902,0.00006226825,0.00003765898,0.00009557604,0.0001950089,0.00001920529],"domain_scores_gemma":[0.9996467,0.0001511265,0.000062296,0.00004394463,0.00008724361,0.000008653591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003054493,0.0001076663,0.0009313879,0.00114092,0.00006861277,0.0003220621,0.000396865,0.1303795,0.08362258,0.2564664,0.001273323,0.5249854],"study_design_scores_gemma":[0.0000584937,0.0006319516,0.001322596,0.0001659595,0.00007169136,0.0004133196,0.0000800596,0.8502526,0.04093313,0.06207081,0.04393204,0.00006732994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004253374,0.001972155,0.9904621,0.00009107401,0.0001292455,0.00002541246,0.00001506829,0.00008970199,0.002961779],"genre_scores_gemma":[0.7792643,0.005301015,0.2080978,0.0001559072,0.0004721673,0.0001604308,0.00009529124,0.00006056322,0.006392535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009130859,"threshold_uncertainty_score":0.00311029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009304185586724885,"score_gpt":0.214197174826214,"score_spread":0.2048929892394891,"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."}}