{"id":"W2154327602","doi":"10.1109/cdc.2010.5717315","title":"Performance limitations of the servomechanism problem when the number of tracking/disturbance poles increases","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Servomechanism; Control theory (sociology); Disturbance (geology); Tracking (education); Measure (data warehouse); Controller (irrigation); sort; Mathematics; Robust control; Computer science; Index (typography); Control system; Engineering; Control (management); Control engineering; 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":[0.003749248,0.0006118477,0.0008942331,0.0004530132,0.0004474918,0.001165928,0.0009263186,0.001109272,0.002324361],"category_scores_gemma":[0.01928751,0.000322242,0.0003867134,0.0004054638,0.001645028,0.002381923,0.001341686,0.001409449,0.0002938972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004617452,"about_ca_system_score_gemma":0.0006204874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000621312,"about_ca_topic_score_gemma":0.0002529274,"domain_scores_codex":[0.9980089,0.0006010348,0.0001476149,0.0002519726,0.000787312,0.0002030977],"domain_scores_gemma":[0.9792947,0.01621223,0.002045003,0.0009617451,0.001040924,0.000445447],"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":[0.0005839735,0.0001976434,0.003383787,0.001205537,0.0001171654,0.0005806499,0.000488295,0.7121213,0.05447033,0.1173529,0.001962125,0.1075364],"study_design_scores_gemma":[0.00005810865,0.0004888439,0.002503163,0.00006396709,0.00002300001,0.000306823,0.0001242747,0.9211754,0.01449418,0.0593038,0.001418851,0.0000396287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2384876,0.001060904,0.7476756,0.001712185,0.00007490435,0.000137275,0.0000909891,0.0003516036,0.01040883],"genre_scores_gemma":[0.9578185,0.000483353,0.03992347,0.0001529391,0.00007264895,0.000135059,0.00005915902,0.0000476583,0.001307312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003749248,"threshold_uncertainty_score":0.0198282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350737611235523,"score_gpt":0.203161044271414,"score_spread":0.1896536681590588,"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."}}