{"id":"W2315934130","doi":"10.1109/tmech.2014.2298241","title":"Tracking and Structural Vibration Control of Flexible Ball–Screw Drives With Dynamic Variations","year":2014,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ball screw; Control theory (sociology); Vibration; Ball (mathematics); Controller (irrigation); Open-loop controller; Vibration control; Computer science; Feedback controller; Control engineering; Engineering; Mechanical engineering; Control (management); Acoustics; Physics; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001682371,0.0002743011,0.000221876,0.0001234305,0.0001910134,0.0002495883,0.0004214676,0.0002332232,0.0005913345],"category_scores_gemma":[0.0004081167,0.0001486245,0.0001701517,0.0001217575,0.0002632085,0.0002490005,0.0002526524,0.0002488702,0.00009653759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494071,"about_ca_system_score_gemma":0.0002014236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300378,"about_ca_topic_score_gemma":0.001430018,"domain_scores_codex":[0.9998474,0.00001845507,0.000006748818,0.00003502304,0.00007934744,0.00001294663],"domain_scores_gemma":[0.9998565,0.00004633138,0.00003264166,0.00001452563,0.00004161801,0.000008348182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005067752,0.0001239514,0.001381843,0.0002453362,0.00007392733,0.0002696858,0.0002491712,0.3755531,0.2661102,0.009183115,0.0007180996,0.3455848],"study_design_scores_gemma":[0.00003499898,0.0003073673,0.001223876,0.000005269999,0.00001199646,0.00008433301,0.00001675174,0.9785593,0.01644552,0.001477602,0.001823143,0.00001005454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1494981,0.0003689228,0.8469464,0.00008173232,0.00005785688,0.00002914244,0.00001304619,0.0002120414,0.002792743],"genre_scores_gemma":[0.9804116,0.00008599748,0.0184225,0.00001186309,0.00001460262,0.00001730859,0.00001255256,0.000006743524,0.001016842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001300378,"threshold_uncertainty_score":0.002585649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003651190042587126,"score_gpt":0.1975441460426312,"score_spread":0.193892956000044,"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."}}