{"id":"W2069746697","doi":"10.1109/icarcv.2014.7064321","title":"FPGA sensorless PMSM drive with adaptive fading extended Kalman filtering","year":2014,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Extended Kalman filter; Control theory (sociology); Field-programmable gate array; ModelSim; Computer science; Kalman filter; Estimator; Control engineering; Engineering; Embedded system; Mathematics; Artificial intelligence","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":[0.000222065,0.0003564551,0.0002875811,0.0002200364,0.0001846968,0.0003191838,0.0005415004,0.0003024011,0.00176445],"category_scores_gemma":[0.0004413228,0.0001552104,0.0002210125,0.000165853,0.0001297088,0.0003619058,0.0001394556,0.000289149,0.0004386507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435229,"about_ca_system_score_gemma":0.0003182768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855243,"about_ca_topic_score_gemma":0.002138219,"domain_scores_codex":[0.9997637,0.00003464296,0.00001745503,0.000051073,0.0001120606,0.00002113168],"domain_scores_gemma":[0.9998276,0.00004024088,0.00002199929,0.00003424742,0.00006942074,0.000006433243],"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":[0.0005723655,0.0001713467,0.00355086,0.00054329,0.0001249717,0.0003952459,0.0001845098,0.235282,0.1212532,0.00847238,0.004107977,0.6253419],"study_design_scores_gemma":[0.0001301652,0.0008331019,0.0030041,0.0000406139,0.00007421306,0.0004827895,0.0000277876,0.8967297,0.07447585,0.00123978,0.02292609,0.00003581655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05128068,0.0005622099,0.9373634,0.0001103852,0.0001636467,0.0001133819,0.00008559111,0.003000851,0.007319835],"genre_scores_gemma":[0.8206196,0.0002755194,0.1736332,0.00007922466,0.00005109268,0.0001095903,0.0001442572,0.00004105349,0.005046516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001855243,"threshold_uncertainty_score":0.005902648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007461503951772004,"score_gpt":0.1848812845250027,"score_spread":0.1774197805732307,"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."}}