{"id":"W1582915405","doi":"10.1109/robot.1995.525438","title":"Fuzzy logic controller for accurate positioning of direct-drive mechanism using force pulses","year":2002,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Torque; Displacement (psychology); Encoder; Angular displacement; Fuzzy logic; Controller (irrigation); Nonlinear system; Mechanism (biology); Computer science; Fuzzy control system; Position (finance); Control engineering; Engineering; Physics; Acoustics; Artificial intelligence; Control (management)","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":[0.0001413527,0.0001736474,0.0003626941,0.0001005243,0.00009666821,0.00005240599,0.00009381343,0.00008323993,0.00008740292],"category_scores_gemma":[0.0000671764,0.0001553717,0.0001157877,0.000110395,0.00001636395,0.0001865417,0.00001301202,0.00008399339,0.00001841363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006496492,"about_ca_system_score_gemma":0.000003138774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001521373,"about_ca_topic_score_gemma":0.000003796264,"domain_scores_codex":[0.9990759,0.00004660695,0.0003206443,0.0001632141,0.0001142952,0.0002793507],"domain_scores_gemma":[0.9994373,0.0001906575,0.00008427967,0.0001185789,0.0001270341,0.00004218253],"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":[0.00003467939,0.00002940642,0.00007501076,0.0001610785,0.0003169898,0.000004241977,0.0009625054,0.316859,0.6261523,0.05377227,0.0004353095,0.001197133],"study_design_scores_gemma":[0.001206543,0.00009252642,0.00002416789,0.00007205916,0.00004069709,0.000007837756,0.00009079005,0.978844,0.01737221,0.001816673,0.0002260608,0.0002064723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04524093,0.0009223253,0.8771074,0.00008232886,0.0005285737,0.001203489,0.00003423451,0.000530832,0.07434987],"genre_scores_gemma":[0.9929677,0.000005851248,0.005016487,0.0000650039,0.0001237057,0.00005261567,0.000004251198,0.00004042749,0.00172394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9477268,"threshold_uncertainty_score":0.6335872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732233115068571,"score_gpt":0.2416665320395744,"score_spread":0.2143442008888886,"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."}}