{"id":"W1922999941","doi":"10.1115/imece2014-39311","title":"Nonlinear Robust Control of Vehicle Lateral Dynamics Considering Driver’s Dynamics","year":2014,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Yaw; Vehicle dynamics; Controller (irrigation); Nonlinear system; Robust control; Bounded function; Computer science; Process (computing); Stability (learning theory); Control system; Engineering; Control (management); Mathematics; Automotive engineering","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":[0.0005002646,0.0006337361,0.0003941998,0.0001933249,0.0002004232,0.00054345,0.0005608791,0.0002981039,0.0008140252],"category_scores_gemma":[0.0007145382,0.0001988406,0.0003564376,0.0001315887,0.0003870586,0.0003813766,0.0006037969,0.0003995047,0.0002113211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025699,"about_ca_system_score_gemma":0.0004801107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482216,"about_ca_topic_score_gemma":0.003065879,"domain_scores_codex":[0.9997838,0.00005113773,0.00001069208,0.00005603338,0.00005962663,0.00003873749],"domain_scores_gemma":[0.9996974,0.000106714,0.00008200339,0.00002397457,0.00008045382,0.00000945552],"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":[0.0001866932,0.00006562403,0.0005134491,0.0002139162,0.00006982265,0.0001715875,0.0001523137,0.8985018,0.0451462,0.009315936,0.0004769378,0.04518581],"study_design_scores_gemma":[0.000009341511,0.0001109019,0.0001762849,0.000002992003,0.000009024077,0.00001334732,0.000009265809,0.9964803,0.002061573,0.0007005108,0.0004214806,0.000004973385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08012651,0.00030966,0.9148626,0.00007793082,0.00005511759,0.00002751325,0.0000243973,0.000285829,0.004230362],"genre_scores_gemma":[0.9899172,0.0001043228,0.008429266,0.00001218072,0.00001787471,0.00002518096,0.00002044123,0.00001138296,0.00146226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003482216,"threshold_uncertainty_score":0.006923914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004576890491085716,"score_gpt":0.1721112222231107,"score_spread":0.167534331732025,"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."}}