{"id":"W3041960092","doi":"10.3390/machines8030038","title":"A Novel Adaptive and Nonlinear Electrohydraulic Active Suspension Control System with Zero Dynamic Tire Liftoff","year":2020,"lang":"en","type":"article","venue":"Machines","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Active suspension; Control theory (sociology); Backstepping; Sprung mass; Controller (irrigation); Suspension (topology); Nonlinear system; Engineering; Filter (signal processing); Adaptive control; Control system; Nonlinear control; Control engineering; Computer science; Control (management); Automotive engineering; Actuator; 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":[0.0002111653,0.0003831214,0.0003179286,0.0001782907,0.0003964057,0.0004378602,0.0007832081,0.0004779099,0.001730725],"category_scores_gemma":[0.000258018,0.000141787,0.0002634528,0.0001287602,0.00035319,0.0003563219,0.0004376028,0.0004212412,0.0003481916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249906,"about_ca_system_score_gemma":0.0003715545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072544,"about_ca_topic_score_gemma":0.001939367,"domain_scores_codex":[0.9998136,0.00002121466,0.00001538739,0.00007228758,0.00005829096,0.00001921576],"domain_scores_gemma":[0.9998618,0.00002092722,0.00002057134,0.00001448372,0.00006792982,0.00001421026],"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":[0.0005877031,0.0002118818,0.002517285,0.0007607627,0.000125488,0.0009162457,0.0007141451,0.1991138,0.4141285,0.02134625,0.004323247,0.3552546],"study_design_scores_gemma":[0.00007185544,0.0006056983,0.001351885,0.00002745556,0.00005055478,0.0002858072,0.00004337827,0.9623634,0.01976947,0.001014801,0.01437787,0.00003780155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0671116,0.0004409354,0.9226965,0.000241448,0.0003147346,0.0001122323,0.00004825396,0.0008776334,0.008156629],"genre_scores_gemma":[0.94978,0.000195475,0.04211501,0.0001078455,0.00006508273,0.0001443693,0.00005983871,0.00001234427,0.007519979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002072544,"threshold_uncertainty_score":0.005789816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005910962642938798,"score_gpt":0.1825390384666786,"score_spread":0.1766280758237398,"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."}}