{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003251239,0.0001914112,0.0002786974,0.00003198107,0.00007345313,0.00003023889,0.00007195258,0.00007542089,0.00001134656],"category_scores_gemma":[0.00002130494,0.0001269289,0.00003565033,0.000135904,0.00003544199,0.000102683,0.00001884254,0.0001754778,0.00001550613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000028864,"about_ca_system_score_gemma":0.00001100661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000247681,"about_ca_topic_score_gemma":0.00005210059,"domain_scores_codex":[0.9993237,0.00002406434,0.0001443294,0.0002080763,0.0001088063,0.000190974],"domain_scores_gemma":[0.9996721,0.00006511842,0.00002417916,0.00007927545,0.00004126964,0.0001180457],"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":[0.003303599,0.0001343444,0.001299273,0.0004972304,0.0009485866,0.0001672378,0.001454432,0.1133379,0.8053202,0.007473506,0.0004548886,0.06560886],"study_design_scores_gemma":[0.001523377,0.0003329354,0.002408946,0.00002809304,0.00003528313,0.00003066083,0.00003926148,0.9948679,0.0004076076,0.000009738543,0.0001413044,0.0001749262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3723819,0.0008837091,0.6217726,0.001833472,0.0001185232,0.000599366,0.0001138437,0.0009244799,0.001372163],"genre_scores_gemma":[0.998568,0.00001302793,0.0009100195,0.0003313661,0.00009169482,0.00001861151,0.00001594189,0.00002692911,0.00002439283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.88153,"threshold_uncertainty_score":0.5176009,"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."}}