{"id":"W3004266749","doi":"10.1155/2020/4735397","title":"Virtual Line Shafting-Based Total-Amount Coordinated Control of Multi-Motor Traction Power","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Natural Science Foundation of Hunan Province; Education Department of Hunan Province","keywords":"Control theory (sociology); Traction (geology); Torque; Traction control system; Robustness (evolution); Block diagram; Control engineering; Control system; Computer science; Controller (irrigation); Sliding mode control; Lyapunov function; Engineering; Automotive engineering; Control (management); Nonlinear system","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":[0.0003647524,0.0005262438,0.0005276104,0.0003490241,0.0004531874,0.0007462654,0.000989411,0.0002812428,0.001135967],"category_scores_gemma":[0.0005318424,0.0002295198,0.00031362,0.0003068144,0.000454951,0.000674426,0.0006590522,0.0003503763,0.0001752329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696575,"about_ca_system_score_gemma":0.0004829429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233292,"about_ca_topic_score_gemma":0.0020584,"domain_scores_codex":[0.9995753,0.00007222198,0.00002865814,0.0001157397,0.0001594134,0.0000485873],"domain_scores_gemma":[0.9997162,0.00005424482,0.00006029309,0.00003525704,0.000108616,0.00002543085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005052104,0.0001492792,0.001676921,0.0002979156,0.0001365874,0.0002558136,0.0003647107,0.6566594,0.07185883,0.01551765,0.002028947,0.2505488],"study_design_scores_gemma":[0.00003021485,0.0002516563,0.0003610348,0.000005560163,0.00002245747,0.00004799429,0.00002130067,0.9910651,0.005420289,0.001088489,0.001675142,0.00001071563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04602044,0.0001609321,0.9494823,0.00006492633,0.00008782162,0.00003673435,0.00001520164,0.0005021541,0.003629508],"genre_scores_gemma":[0.9851694,0.00005297314,0.01360052,0.0000173134,0.00002053115,0.00002508247,0.00001358881,0.00001805556,0.001082504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00233292,"threshold_uncertainty_score":0.004638672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00738479949975385,"score_gpt":0.2169655727072667,"score_spread":0.2095807732075128,"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."}}