{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002788438,0.000287222,0.0005872993,0.0002059649,0.0002846032,0.00008384781,0.0001726808,0.0003004659,0.00001645529],"category_scores_gemma":[0.00007966413,0.0003429819,0.0001351578,0.0001728504,0.00003115792,0.0003338006,0.00001483293,0.0002066419,0.000008305859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111266,"about_ca_system_score_gemma":0.0000251787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997553,"about_ca_topic_score_gemma":0.002988507,"domain_scores_codex":[0.99868,0.0001292962,0.0002936307,0.000457472,0.0002173738,0.0002222573],"domain_scores_gemma":[0.9986696,0.0001257327,0.0003221337,0.0003070505,0.0005218679,0.00005357587],"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":[0.0008886527,0.00009745249,0.0009066869,0.00795787,0.001003113,0.00001119411,0.1105739,0.02288089,0.8454677,0.0008315083,0.001164287,0.008216804],"study_design_scores_gemma":[0.01319105,0.0003758174,0.07860025,0.00540634,0.00132601,0.00001646475,0.1693709,0.6596213,0.06771617,0.0001139772,0.002037502,0.002224199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.863911,0.0009514234,0.1314552,0.00006675202,0.001420523,0.001515054,0.0001936503,0.0003074248,0.000178975],"genre_scores_gemma":[0.8691552,0.00004141593,0.0009403616,0.000001371435,0.00007836898,0.00001279219,0.001038392,0.00004758822,0.1286846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7777515,"threshold_uncertainty_score":0.9999022,"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."}}