{"id":"W7039758886","doi":"","title":"Multivariable System Identification, Enhanced Disturbance Rejection, and Precision Motion Control for CNC Machine Tool Feed Drives","year":2021,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Control theory (sociology); Control system; Machining; Servo; Process (computing); Machine tool; Noise (video)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004748251,0.0004256082,0.000306622,0.0002188994,0.0002731992,0.000538781,0.0003617783,0.0002739977,0.001085086],"category_scores_gemma":[0.001298738,0.0001329849,0.0002125057,0.0003493791,0.000257958,0.0003073959,0.0002986774,0.0005801414,0.0002069678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726683,"about_ca_system_score_gemma":0.0005474208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621139,"about_ca_topic_score_gemma":0.003629823,"domain_scores_codex":[0.9994727,0.00009279,0.00002072438,0.0001196055,0.0002564505,0.00003783179],"domain_scores_gemma":[0.9996935,0.0001049438,0.00004960748,0.00002338851,0.0001218069,0.000006753038],"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":[0.0001509515,0.00008284487,0.0009632832,0.0003878849,0.00004237472,0.0001513217,0.0003450013,0.6183883,0.03413789,0.04684542,0.002518243,0.2959864],"study_design_scores_gemma":[0.000007534523,0.00009105925,0.0007347237,0.00000937921,0.000005460034,0.00002646962,0.00001525831,0.9906313,0.002673423,0.001966071,0.003830756,0.000008537497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01638643,0.00052733,0.9784775,0.0001346558,0.00006757087,0.00003687932,0.00002628006,0.0002100957,0.004133287],"genre_scores_gemma":[0.9422859,0.0007383052,0.0499999,0.00008188344,0.00009596398,0.0001186591,0.000106888,0.0000307814,0.006541688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004621139,"threshold_uncertainty_score":0.009188473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003573524598146182,"score_gpt":0.1794694529232855,"score_spread":0.1758959283251393,"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."}}