{"id":"W4416308776","doi":"10.1155/atr/5542282","title":"Vehicle Lateral Motion Control Based on Fading Sage–Husa Kalman Filter and Robust Model Predictive Control","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Anhui Provincial Department of Education; Anhui University of Science and Technology","keywords":"Control theory (sociology); CarSim; Kalman filter; Model predictive control; Trajectory; Controller (irrigation); Fading; Noise (video); Motion control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669656,0.0001432914,0.0002815027,0.0001683267,0.00005459019,0.00002790391,0.00006175796,0.0000756408,0.000003186817],"category_scores_gemma":[0.00000795987,0.0001345893,0.00009425089,0.000093387,0.00001453017,0.0003204037,4.506691e-7,0.000212029,3.301151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008361778,"about_ca_system_score_gemma":0.00001959213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002503846,"about_ca_topic_score_gemma":0.00001609789,"domain_scores_codex":[0.9990715,0.00002524898,0.0004563164,0.0001135238,0.0001769905,0.0001563868],"domain_scores_gemma":[0.999544,0.00006443458,0.0001390483,0.00007832018,0.0001119104,0.00006232015],"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":[0.0004235996,0.00002531727,0.003494285,0.00005634378,0.00006817289,0.00001041342,0.0001928071,0.9798856,0.01075234,0.0001488865,0.000006869797,0.004935408],"study_design_scores_gemma":[0.005532379,0.0001329677,0.09508753,0.0002157928,0.00009571042,0.000001192854,0.0000517952,0.8983704,0.0001363609,0.0002676056,0.00001312796,0.00009515309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4101362,0.000122201,0.5890549,0.0001271889,0.0002062907,0.0001728451,0.00004734913,0.00003011108,0.000102903],"genre_scores_gemma":[0.9991359,0.00002780867,0.0005815732,0.0001337713,0.00005572256,0.00001303179,0.00001059776,0.00001824466,0.00002342663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5889996,"threshold_uncertainty_score":0.5488393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00412416727190891,"score_gpt":0.191073114170211,"score_spread":0.1869489468983021,"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."}}