{"id":"W2128090845","doi":"10.1109/cdc.1993.325877","title":"Performance monitored continuous time LQ stochastic adaptive control","year":2002,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Adaptive control; Control theory (sociology); Set (abstract data type); Computer science; Stochastic process; Feature (linguistics); Mathematics; Mathematical optimization; Control (management); Artificial intelligence; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006228348,0.000106978,0.0001684756,0.0000481353,0.00004446066,0.00003717017,0.00007880263,0.00004737624,0.0003720245],"category_scores_gemma":[0.000009387828,0.00009908192,0.00003998703,0.000062727,0.00001268303,0.0001410823,0.000004511786,0.00006532673,0.002137126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004268117,"about_ca_system_score_gemma":0.000001682565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002024477,"about_ca_topic_score_gemma":0.000002192973,"domain_scores_codex":[0.9994011,0.00001110359,0.000189128,0.0001105883,0.000109224,0.0001788564],"domain_scores_gemma":[0.9996809,0.00003064861,0.00002480427,0.000163066,0.00004853665,0.0000520487],"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":[0.0001518323,0.0002809345,0.003274918,0.0001923739,0.0009361576,0.0000178317,0.001918973,0.4537388,0.1652574,0.001074605,0.108986,0.2641702],"study_design_scores_gemma":[0.000661238,0.000035643,0.004111934,0.00001521266,0.00001672509,0.000004046465,0.00002536031,0.9941735,0.000119534,0.000003872422,0.0007034867,0.0001294016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8062668,0.001767158,0.1075548,0.00013894,0.001479584,0.001280659,0.00002980193,0.001645784,0.07983643],"genre_scores_gemma":[0.9920354,0.000006859937,0.00004146971,0.00001060316,0.0001732955,0.00004545644,0.000001914092,0.00001956466,0.007665477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5404348,"threshold_uncertainty_score":0.9986398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006601464915315225,"score_gpt":0.154419629950404,"score_spread":0.1478181650350888,"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."}}