{"id":"W4404565312","doi":"10.1109/vppc63154.2024.10755186","title":"Robust Wheel Speed Control of Electric Vehicles with Respect to Backlash and Dead-time in Powertrains","year":2024,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Nagamori Foundation; Nazarbayev University; Ministry of Education","keywords":"Powertrain; Backlash; Automotive engineering; Control theory (sociology); Electric vehicle; Control (management); Torque; Computer science; Engineering; Physics; Power (physics); Mechanical 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":[0.0003419119,0.0003964841,0.0003173375,0.0003331955,0.0002280142,0.0006620305,0.000306997,0.000238228,0.0005525937],"category_scores_gemma":[0.0008502059,0.0001922598,0.0002170876,0.0001781947,0.0003990463,0.0002485278,0.0002461385,0.0002703886,0.00009151764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103057,"about_ca_system_score_gemma":0.0003609338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004804143,"about_ca_topic_score_gemma":0.003013006,"domain_scores_codex":[0.9997972,0.00002406916,0.00001004841,0.00004289109,0.00009578336,0.00003002645],"domain_scores_gemma":[0.9997917,0.00007513888,0.00005266396,0.0000174819,0.00005637762,0.00000669853],"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":[0.0003322679,0.0000616182,0.0009723678,0.0002023594,0.00005185642,0.0002197129,0.0002011465,0.8448607,0.08331615,0.009592296,0.0004927791,0.05969686],"study_design_scores_gemma":[0.000010487,0.0001546576,0.00119876,0.000006360347,0.00001160764,0.00002527539,0.00001705518,0.988818,0.007730744,0.001274855,0.0007425284,0.000009507223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1984338,0.0006813619,0.795488,0.0000689632,0.00006784806,0.00003467965,0.00004308225,0.0004770574,0.004705232],"genre_scores_gemma":[0.996753,0.00009277866,0.002492986,0.000004833494,0.000006140825,0.000009935511,0.00001246217,0.000009814433,0.0006178512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004804143,"threshold_uncertainty_score":0.00955236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005367405689732388,"score_gpt":0.1805496764067517,"score_spread":0.1751822707170193,"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."}}