{"id":"W2468280671","doi":"10.1115/1.4034157","title":"Predictive Control of Suspension Systems Through Combining Dynamic Matrix and Constrained Variable Structure Controllers","year":2016,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Trajectory; Variable (mathematics); MIMO; Computer science; Matrix (chemical analysis); Suspension (topology); Control engineering; Engineering; Mathematics; Control (management); Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001876197,0.0004683176,0.001704483,0.0002381778,0.0001154324,0.0001303441,0.0002364019,0.0002754962,0.00000661031],"category_scores_gemma":[0.0001350743,0.0003174827,0.0001748252,0.00014332,0.0001545908,0.0003961446,0.00001928164,0.0002789724,7.313254e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786774,"about_ca_system_score_gemma":0.0001380201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006831325,"about_ca_topic_score_gemma":0.00001939903,"domain_scores_codex":[0.9961328,0.000350371,0.00173831,0.0002947098,0.000984348,0.000499495],"domain_scores_gemma":[0.9970553,0.0003747364,0.001086242,0.0002805485,0.000977803,0.0002253477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001825996,0.00009291598,0.005341511,0.001271399,0.005118548,0.00006126165,0.0004327407,0.06111207,0.9146238,0.007656361,0.00008375462,0.002379647],"study_design_scores_gemma":[0.02964567,0.0007843998,0.001516863,0.002488937,0.0007581752,0.0005794676,0.001260945,0.9619777,0.00002409402,0.0002838057,0.0002325618,0.0004474269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3004387,0.04961045,0.6424841,0.0002543959,0.003874053,0.002340209,0.0005235936,0.0001181712,0.0003562792],"genre_scores_gemma":[0.9992717,0.0003716089,0.00006301331,0.00001191358,0.0001393779,0.00002625008,0.00000197816,0.00006146535,0.00005268099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9145997,"threshold_uncertainty_score":0.9999277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005210101468712126,"score_gpt":0.1876506077174236,"score_spread":0.1824405062487115,"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."}}