{"id":"W4388672402","doi":"10.3390/machines11111022","title":"Adaptive Neuro-Fuzzy Control of Active Vehicle Suspension Based on H2 and H∞ Synthesis","year":2023,"lang":"en","type":"article","venue":"Machines","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adaptive neuro fuzzy inference system; Control theory (sociology); Computer science; Robustness (evolution); Suspension (topology); Controller (irrigation); Active suspension; Performance improvement; Fuzzy logic; Control engineering; Fuzzy control system; Engineering; Artificial intelligence; Control (management); Mathematics","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":[0.00007039175,0.00009489458,0.0001678676,0.00007352968,0.00004002295,0.000007889301,0.00004676609,0.0000466317,0.00004881557],"category_scores_gemma":[0.0001858858,0.00006891486,0.0000384322,0.0001335701,0.00003053911,0.00004150224,0.00001168785,0.00006877619,0.00002343788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005949838,"about_ca_system_score_gemma":0.000003491193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001507638,"about_ca_topic_score_gemma":0.000006640308,"domain_scores_codex":[0.9995368,0.00004633594,0.0001068407,0.0001103358,0.00008995735,0.0001097995],"domain_scores_gemma":[0.9991301,0.000708555,0.00001442911,0.00008665178,0.0000220435,0.000038208],"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":[0.0009624328,0.0001193976,0.007945046,0.0000983022,0.0001281419,0.00005022721,0.0001964065,0.489782,0.3623054,0.005669717,0.001806125,0.1309368],"study_design_scores_gemma":[0.0005627492,0.00009940536,0.0609911,0.00001409149,0.00001184404,3.870414e-7,0.00001117516,0.9322054,0.005616973,0.0003570422,0.00005392622,0.0000759356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850464,0.0001043639,0.007288204,0.001344861,0.0002454025,0.0002678532,0.00007869388,0.0005148164,0.005109405],"genre_scores_gemma":[0.9996825,0.00001369272,0.00004719491,0.0001536621,0.00003738946,0.00001639205,0.000003020915,0.00001229377,0.00003384602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4424234,"threshold_uncertainty_score":0.2810267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009982626575058513,"score_gpt":0.203281266359663,"score_spread":0.1932986397846045,"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."}}