{"id":"W2889601303","doi":"10.1177/1464419318797051","title":"Lateral control of an autonomous vehicle using integrated backstepping and sliding mode controller","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Backstepping; Control theory (sociology); Controller (irrigation); Lyapunov function; CarSim; Particle swarm optimization; Computer science; MATLAB; Control engineering; Engineering; Nonlinear system; Control (management); Adaptive control; Artificial intelligence; Algorithm","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":[0.0007896013,0.0002311644,0.0007090971,0.0002030086,0.00007751676,0.00003036058,0.0003720212,0.000236641,0.000002108128],"category_scores_gemma":[0.0001885243,0.0001810867,0.0001942854,0.0002486342,0.0001459529,0.0004211243,0.00004693335,0.0004214476,1.71043e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958033,"about_ca_system_score_gemma":0.00006470161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004387382,"about_ca_topic_score_gemma":0.000009267572,"domain_scores_codex":[0.9981202,0.00002036814,0.00112993,0.0001441185,0.0003307316,0.0002546643],"domain_scores_gemma":[0.9981979,0.00004862133,0.0006653399,0.0001003276,0.000856001,0.0001318426],"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":[0.0002831492,0.0001190903,0.0005579605,0.0002476826,0.0003978447,0.00000140884,0.0002664495,0.3096305,0.6711562,0.01614087,0.000002886135,0.001195948],"study_design_scores_gemma":[0.003129674,0.0002612986,0.000148376,0.0005325112,0.000148532,0.00006229249,0.0002112326,0.9799597,0.01525674,0.0001129119,0.00001565296,0.0001611215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893899,0.0001124996,0.1050269,0.00003848881,0.0005800687,0.0002405069,0.00004175395,0.00002850018,0.00003229724],"genre_scores_gemma":[0.9966446,0.00002538332,0.003157443,0.00001153945,0.0001228992,0.000002346625,0.000001125171,0.00002971233,0.000005018492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6703292,"threshold_uncertainty_score":0.7384499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002949015040882,"score_gpt":0.2259347349414521,"score_spread":0.2159052447910433,"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."}}