{"id":"W4287250936","doi":"10.5281/zenodo.4643513","title":"Quarter car model optimization of active suspension system using fuzzy PID and linear quadratic regulator controllers","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Linear-quadratic regulator; Regulator; Suspension (topology); Active suspension; Quarter (Canadian coin); Mathematics; Engineering; Optimal control; Computer science; Control engineering; Control (management); Mathematical optimization; Temperature control; Biology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004769501,0.0006731825,0.0008379491,0.0003071393,0.0003778354,0.001107764,0.000710145,0.0007554542,0.00213904],"category_scores_gemma":[0.0005192138,0.00037931,0.00064705,0.0002872159,0.0003467119,0.0004259041,0.0004915742,0.000508877,0.0002857391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512538,"about_ca_system_score_gemma":0.0009171443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044622,"about_ca_topic_score_gemma":0.006174578,"domain_scores_codex":[0.9997647,0.00005236286,0.00001174255,0.00005148831,0.00008045417,0.00003912022],"domain_scores_gemma":[0.999791,0.00006976749,0.00002983718,0.00001320952,0.00008613755,0.00001014205],"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":[0.00007481705,0.00002862987,0.0002100839,0.00008728557,0.00002481419,0.00004181539,0.00004738019,0.9821442,0.005663519,0.001295096,0.000259937,0.01012237],"study_design_scores_gemma":[0.000006884754,0.00004718959,0.00009080759,0.000001908443,0.000006361008,0.000004929442,0.000007272332,0.9988685,0.0005518061,0.0001435607,0.0002678827,0.000003013287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057716,0.0004947546,0.8807511,0.000160128,0.00007683248,0.00008034593,0.00008020078,0.0006133168,0.0119718],"genre_scores_gemma":[0.9695843,0.0001870622,0.02524591,0.0000260314,0.00001142634,0.0001127241,0.00007861117,0.00003200833,0.004721788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01044622,"threshold_uncertainty_score":0.02077085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290382665267307,"score_gpt":0.2121460873400375,"score_spread":0.1892422606873644,"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."}}