{"id":"W2163116163","doi":"10.1109/iecon.1992.254423","title":"An adaptive pole shifting algorithm for reference tracking","year":2003,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Robustness (evolution); Computer science; Closed loop; Control theory (sociology); Tracking (education); Reference model; Algorithm; SIGNAL (programming language); Full state feedback; Domain (mathematical analysis); Control engineering; Artificial intelligence; Mathematics; Control (management); Engineering","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":[0.0003218496,0.0005358324,0.0004281962,0.0005381266,0.0003565635,0.0004813633,0.0007909728,0.0006115504,0.006136618],"category_scores_gemma":[0.0008385086,0.0001960289,0.0002820948,0.0004880139,0.000340962,0.0005762887,0.0005053595,0.0006496478,0.002546081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475336,"about_ca_system_score_gemma":0.000379066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007591958,"about_ca_topic_score_gemma":0.0007928413,"domain_scores_codex":[0.9997886,0.00003166719,0.00001134751,0.00005658936,0.00009712884,0.0000147684],"domain_scores_gemma":[0.9998024,0.00004978104,0.00001833497,0.0000412878,0.00007677382,0.0000114236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001167055,0.00005771876,0.0002195889,0.0001235619,0.00002626844,0.0001174007,0.0001133204,0.08926847,0.04649234,0.02978265,0.004006386,0.8296757],"study_design_scores_gemma":[0.00004951625,0.0001238602,0.0002219973,0.00002556278,0.00001715435,0.0002798772,0.00001848203,0.9424913,0.01974661,0.00899478,0.02800644,0.00002448097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001686068,0.00009419348,0.9958556,0.00002364146,0.00003852686,0.00002460394,0.000007837485,0.0005218069,0.00174766],"genre_scores_gemma":[0.1177279,0.0002573047,0.8732838,0.00009559211,0.00006136664,0.0001591115,0.0001026816,0.0001437178,0.008168571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006136618,"threshold_uncertainty_score":0.02052903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521501468331304,"score_gpt":0.2549377728388798,"score_spread":0.2297227581555667,"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."}}