{"id":"W2076463606","doi":"10.1016/j.jprocont.2006.05.003","title":"Monitoring control performance via structured closed-loop response subject to output variance/covariance upper bound","year":2006,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Control Systems and Identification","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Closed-loop transfer function; Covariance; Loop fission; Frequency response; Upper and lower bounds; Variance (accounting); Computer science; Transfer function; Mathematical optimization; Mathematics; Control (management); Engineering; Statistics; 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":[0.001691007,0.001038869,0.001155206,0.000481456,0.000325528,0.001097947,0.0005090925,0.001166261,0.0007952038],"category_scores_gemma":[0.01178782,0.0003738783,0.0003527627,0.0003668054,0.0005641644,0.001075999,0.0008358788,0.0008538309,0.0003039183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900356,"about_ca_system_score_gemma":0.0006547743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069443,"about_ca_topic_score_gemma":0.0009343254,"domain_scores_codex":[0.9981918,0.0006187445,0.0001408385,0.0004082501,0.0005024862,0.0001378896],"domain_scores_gemma":[0.9945082,0.003234362,0.0008953817,0.0004501227,0.0008056234,0.0001064492],"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":[0.002810643,0.0006865971,0.007585213,0.0006474875,0.00031536,0.000469135,0.0005320858,0.6517528,0.1391543,0.008458839,0.001509321,0.1860783],"study_design_scores_gemma":[0.00004036885,0.0003638375,0.003561107,0.0000198346,0.00002159631,0.00005896346,0.00002181382,0.9775009,0.01670113,0.001568272,0.0001187539,0.00002341647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.229573,0.0001331794,0.7672023,0.0001570355,0.00004236153,0.00009889531,0.0001346375,0.001024816,0.001633804],"genre_scores_gemma":[0.9756936,0.00003913368,0.02364562,0.00005409535,0.00002013899,0.00005429133,0.00008923511,0.00005122407,0.0003526789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001691007,"threshold_uncertainty_score":0.008943021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005546972882109734,"score_gpt":0.2168432341458026,"score_spread":0.2112962612636928,"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."}}