{"id":"W2109908808","doi":"10.1080/15325000590511599","title":"A New Flux Observer Design for Backstepping Controls of Induction Motors","year":2004,"lang":"en","type":"article","venue":"Electric Power Components and Systems","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Backstepping; Control theory (sociology); Induction motor; Observer (physics); Convergence (economics); Torque; Position (finance); Rotor (electric); Direct torque control; Sensitivity (control systems); Flux (metallurgy); Tracking (education); Computer science; Control engineering; Engineering; Control (management); Physics; Adaptive control; Voltage; Artificial intelligence; Electronic engineering","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":[0.000731512,0.0005707467,0.0006455252,0.0004468262,0.0001441463,0.0006246081,0.0007380585,0.0007021875,0.001239597],"category_scores_gemma":[0.001315607,0.0002707839,0.0003247626,0.0002286658,0.000356689,0.0006765759,0.0003639065,0.0008140881,0.0004221389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250922,"about_ca_system_score_gemma":0.0003276377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040394,"about_ca_topic_score_gemma":0.000917372,"domain_scores_codex":[0.9996039,0.00007329484,0.00003439456,0.00005338139,0.0002079417,0.00002702019],"domain_scores_gemma":[0.9994966,0.0001321029,0.00005875977,0.00004935838,0.0002430228,0.00002010207],"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":[0.0005262441,0.0001906566,0.001022246,0.0008516714,0.0001222234,0.000366459,0.0003385725,0.2550193,0.1915416,0.03216294,0.003271498,0.5145866],"study_design_scores_gemma":[0.00005462825,0.0001928084,0.0003208663,0.00001763902,0.00001942955,0.00005951068,0.000006856332,0.9814902,0.01244563,0.001468999,0.003908033,0.00001539139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002925752,0.00009310487,0.9962753,0.00002114684,0.00005760765,0.000023166,0.000008163026,0.0001974155,0.0003983586],"genre_scores_gemma":[0.6581216,0.0004477104,0.3365695,0.00009704455,0.0001377225,0.0002986504,0.0001407728,0.00006833174,0.004118796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001239597,"threshold_uncertainty_score":0.004146874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820612617711545,"score_gpt":0.2147131641395709,"score_spread":0.1865070379624554,"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."}}