{"id":"W2801913282","doi":"10.1177/0959651818770344","title":"Automated steering controller design for vehicle lane keeping combining linear active disturbance rejection control and quantitative feedback theory","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Controller (irrigation); Offset (computer science); Disturbance (geology); Feedback controller; Open-loop controller; Computer science; Control engineering; Sensitivity (control systems); Engineering; Control (management); Closed loop; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004763038,0.000637773,0.0004486478,0.0005522873,0.0003167499,0.0006418757,0.001038234,0.000428689,0.001114364],"category_scores_gemma":[0.0006985824,0.0003184261,0.0004088511,0.0002631079,0.0004070229,0.0005397453,0.0004995584,0.0005297129,0.0003639794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586231,"about_ca_system_score_gemma":0.0006065172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052918,"about_ca_topic_score_gemma":0.001075569,"domain_scores_codex":[0.9993318,0.0000758972,0.00003105324,0.0001179429,0.0003994388,0.00004379693],"domain_scores_gemma":[0.999568,0.00008313938,0.00006925667,0.00004637264,0.0002167817,0.00001641683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001982612,0.0002225264,0.0009105185,0.0004621327,0.000117645,0.0001615472,0.0003411672,0.2438603,0.239865,0.02286636,0.001786963,0.4892077],"study_design_scores_gemma":[0.00008130963,0.0005353903,0.0006107966,0.00002065843,0.00003849042,0.0001456349,0.00003110622,0.9583898,0.02784781,0.003345601,0.008909293,0.00004412468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003897873,0.00006445448,0.9945742,0.00001807801,0.00002063756,0.00003264065,0.000004894055,0.0002981861,0.001089098],"genre_scores_gemma":[0.7554176,0.0002120017,0.2406265,0.00009465123,0.0001065779,0.0002585748,0.00007005257,0.00007828073,0.003135595],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001114364,"threshold_uncertainty_score":0.003727913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015511867553964,"score_gpt":0.210391190110075,"score_spread":0.2002360714345353,"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."}}