{"id":"W2904050798","doi":"10.1109/iccss.2018.8572428","title":"Adaptive Critic Optimal Fuzzy Control for Quarter-Car Suspension Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy control system; Control theory (sociology); Computer science; Suspension (topology); Fuzzy logic; Adaptive control; Active suspension; Quarter (Canadian coin); Control engineering; Control (management); Engineering; Artificial intelligence; Mathematics; Actuator","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":[0.0005719733,0.0008061939,0.0007836433,0.0003236916,0.0005415745,0.001053613,0.0006623874,0.001011532,0.001825606],"category_scores_gemma":[0.0007970139,0.0003769384,0.0004521831,0.0003176602,0.0007396826,0.0004758915,0.0006912661,0.0009929521,0.0002100549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067481,"about_ca_system_score_gemma":0.001097606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794511,"about_ca_topic_score_gemma":0.009930589,"domain_scores_codex":[0.9997805,0.00005494952,0.00001042814,0.00005155752,0.00006437054,0.00003827394],"domain_scores_gemma":[0.999626,0.000166337,0.00006565428,0.00001562344,0.0001040737,0.00002232459],"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":[0.00008176487,0.00002017819,0.0002116013,0.00007275328,0.00002369168,0.00009963228,0.00007025533,0.9794762,0.00293376,0.006767595,0.0005063763,0.009736297],"study_design_scores_gemma":[0.000005511521,0.00001933023,0.00004703303,0.000001912255,0.000003035741,0.000004473077,0.00000471715,0.9988614,0.0001575499,0.0007118019,0.000180157,0.000002963431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07543231,0.0007987411,0.9082177,0.0006245574,0.0001902806,0.00005363611,0.00007850731,0.0004225523,0.01418184],"genre_scores_gemma":[0.9853808,0.0002388457,0.009105958,0.00005040902,0.00002512621,0.00005773775,0.00003615277,0.00001414853,0.005090849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01794511,"threshold_uncertainty_score":0.03568131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547698783135517,"score_gpt":0.2528729778547349,"score_spread":0.2373959900233798,"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."}}