{"id":"W2065051022","doi":"10.1109/ccece.2008.4564485","title":"Speed sensorless PWM robust control of induction machines","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Robust control; Estimator; Pulse-width modulation; Induction motor; Computer science; Lyapunov stability; Electronic speed control; Controller (irrigation); Stability (learning theory); Rotor (electric); Machine control; Lyapunov function; Control engineering; Control system; Engineering; Control (management); Mathematics; Nonlinear system; Voltage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004717321,0.0004604402,0.0004239161,0.0002129722,0.0001381718,0.000658452,0.0006813902,0.0004350241,0.001042321],"category_scores_gemma":[0.001062861,0.0001745264,0.0003031335,0.0001983545,0.0003276886,0.0003960544,0.0002988783,0.0005945252,0.0003361368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373061,"about_ca_system_score_gemma":0.0002417161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004221588,"about_ca_topic_score_gemma":0.0002566866,"domain_scores_codex":[0.9995832,0.00008761017,0.00002716421,0.00007276742,0.0002024394,0.00002687489],"domain_scores_gemma":[0.999764,0.0000634542,0.00006976269,0.00003240052,0.00006225377,0.000008135254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002631306,0.00009485067,0.0002665955,0.000634298,0.00007836759,0.0002855246,0.0001696023,0.4159378,0.1468389,0.08498256,0.003134256,0.3473141],"study_design_scores_gemma":[0.00003077217,0.0002583219,0.0002114076,0.00001528698,0.00001348435,0.00006287672,0.000004521958,0.9780663,0.01183132,0.005625946,0.003866007,0.00001372154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01065579,0.000675121,0.9852598,0.00008989921,0.00008165753,0.00002909174,0.00002376215,0.0004472119,0.002737685],"genre_scores_gemma":[0.8899944,0.0006870738,0.1055274,0.00007603005,0.0001376637,0.0001215828,0.00009898406,0.00005461105,0.003302193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001042321,"threshold_uncertainty_score":0.003486872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686437010899871,"score_gpt":0.1744880650958038,"score_spread":0.157623694986805,"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."}}