{"id":"W4405841167","doi":"10.1007/s11071-024-10738-0","title":"Adaptive distributed explicit model predictive controller with road surface identification for HM-AS","year":2024,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Controller (irrigation); Stator; Acceleration; Rotor (electric); Stability (learning theory); Engineering; Automotive engineering; Coupling (piping); Computer science; Control engineering; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001775407,0.0002458231,0.0002889874,0.00006013188,0.00007589714,0.000152991,0.0001638106,0.0001463428,0.000002557659],"category_scores_gemma":[0.00001354751,0.0002195116,0.0001106976,0.0002132011,0.00002610542,0.0001948205,0.00001711444,0.0002003417,0.00002573158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235741,"about_ca_system_score_gemma":0.00006825069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004328105,"about_ca_topic_score_gemma":0.0001465045,"domain_scores_codex":[0.9987877,0.00001524565,0.0003299887,0.000336742,0.0002182349,0.0003120854],"domain_scores_gemma":[0.9993814,0.00007352596,0.00004533321,0.0002310724,0.0001786389,0.00008998326],"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":[0.0001678402,0.00002690289,0.00002870375,0.00007999248,0.0002753336,0.00000459426,0.0001555207,0.9856166,0.001011911,0.009303654,0.00009269507,0.00323623],"study_design_scores_gemma":[0.0008064348,0.000117266,0.00007337835,0.00007786652,0.00009738403,0.000007967734,0.0002434474,0.9974785,0.00004046325,0.0006163582,0.000185427,0.0002554903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283504,0.0003129917,0.8661693,0.0001040405,0.0002647716,0.0008649435,0.00289666,0.0005419627,0.0004948754],"genre_scores_gemma":[0.9953768,0.00003387555,0.002564123,0.00001390768,0.0001420503,0.0001818073,0.0008271752,0.0001007512,0.0007595383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8670263,"threshold_uncertainty_score":0.8951422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006736982498679246,"score_gpt":0.2137181138845993,"score_spread":0.20698113138592,"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."}}