{"id":"W4411408501","doi":"10.1109/tie.2025.3572927","title":"Hybrid Power Control Strategy for Electromechanical Braking System Based on Sliding Mode Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Sliding mode control; Control theory (sociology); Mode (computer interface); Dynamic braking; Power (physics); Automotive engineering; Control (management); Control engineering; Engineering; Computer science; Materials science; Brake; Physics; Nonlinear system","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":[0.0002377561,0.0006240928,0.0004262891,0.0003081573,0.0002726364,0.0005048927,0.0007208981,0.0003487573,0.001785254],"category_scores_gemma":[0.0002934369,0.0001809727,0.0003080783,0.0002271412,0.0003628869,0.0006752531,0.0005589321,0.0004188526,0.0002137127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050221,"about_ca_system_score_gemma":0.0002857892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147841,"about_ca_topic_score_gemma":0.001398546,"domain_scores_codex":[0.9998003,0.00002797759,0.00001589037,0.00005900458,0.00007649352,0.0000203873],"domain_scores_gemma":[0.999889,0.0000246328,0.00001757257,0.00001147598,0.00004919877,0.000008121549],"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":[0.0004078832,0.0001548912,0.0009538822,0.000835191,0.0001490336,0.0004766533,0.0005894578,0.4111869,0.1338388,0.03536956,0.002960408,0.4130774],"study_design_scores_gemma":[0.0000603855,0.0004188733,0.0004101899,0.00001695602,0.00002517708,0.0000886273,0.00003406556,0.9860941,0.00685531,0.002868237,0.003112836,0.00001525975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01964615,0.0003966384,0.9749531,0.00007214263,0.00007740276,0.00004779637,0.000009992813,0.0003384927,0.004458412],"genre_scores_gemma":[0.96015,0.0003791716,0.03400958,0.00006784227,0.00004956872,0.0001243588,0.0000328296,0.00002352863,0.005163017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001785254,"threshold_uncertainty_score":0.005972266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868300396867189,"score_gpt":0.2346754508149778,"score_spread":0.2159924468463059,"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."}}