{"id":"W1964237964","doi":"10.4271/2015-01-1598","title":"Handling Delays in Stability Control of Electric Vehicles Using MPC","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Model predictive control; Stability (learning theory); Control (management); Control theory (sociology); Computer science; Control engineering; Engineering; Artificial intelligence; Machine learning","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":[0.0004234613,0.0007641806,0.0004680692,0.0003469864,0.0004907619,0.001011352,0.000488473,0.0003903866,0.002068621],"category_scores_gemma":[0.001131476,0.0002678265,0.000265501,0.0003053903,0.0005598993,0.0004968953,0.0007770009,0.0007792699,0.00030099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008109821,"about_ca_system_score_gemma":0.0007713954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206843,"about_ca_topic_score_gemma":0.005134796,"domain_scores_codex":[0.9997922,0.00003946088,0.000009277226,0.00005134751,0.00007233919,0.00003535864],"domain_scores_gemma":[0.9997134,0.0001366068,0.00005342512,0.00001770259,0.00006172802,0.00001721611],"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":[0.00006544076,0.000014385,0.0001682236,0.0000461168,0.00001211851,0.00007003756,0.00004913985,0.9729599,0.002827328,0.005618595,0.0004014862,0.01776716],"study_design_scores_gemma":[0.000007010107,0.00002354259,0.00006672,0.000003485515,0.000002900701,0.00000509806,0.000006010191,0.9972237,0.0006520543,0.001484861,0.0005216101,0.000002991626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0928591,0.0006520804,0.8905942,0.0003568859,0.000121285,0.00007132605,0.00008854999,0.0009457609,0.01431073],"genre_scores_gemma":[0.9871715,0.0001848323,0.008210838,0.00003034148,0.00002992497,0.00003874414,0.00003076132,0.0000404586,0.004262726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01206843,"threshold_uncertainty_score":0.02399635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750325207898546,"score_gpt":0.2285074409642943,"score_spread":0.2110041888853088,"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."}}