{"id":"W1495975589","doi":"10.1002/0471221139.ch10","title":"Output‐Feedback Control","year":2002,"lang":"en","type":"other","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scope (computer science); Control theory (sociology); Feedback control; Computer science; Control (management); Nonlinear system; Set (abstract data type); State (computer science); Control engineering; Output feedback; Adaptive control; Nonlinear control; Control system; Engineering; Artificial intelligence; Algorithm","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":["insufficient_payload"],"category_scores_codex":[0.00001811494,0.0002312798,0.0003085615,0.00012697,0.000007887483,0.00001656651,0.0001096562,0.0002545774,0.005331901],"category_scores_gemma":[0.000007281047,0.0002204298,0.00005450382,0.00006352763,0.000009739063,0.00003226263,0.000005078929,0.0001065511,0.002163172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004665658,"about_ca_system_score_gemma":0.000002155708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001640765,"about_ca_topic_score_gemma":0.00002063783,"domain_scores_codex":[0.9993747,0.00000979406,0.0001611815,0.0001509948,0.0001078243,0.0001954929],"domain_scores_gemma":[0.9995984,0.00001382654,0.00004188084,0.0002822665,0.00001186148,0.00005178453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[5.684698e-7,0.000003025853,0.000003067226,0.00005039813,0.00006860758,0.000002597543,0.000004316797,0.1030156,0.000007274325,0.0001425367,0.8932644,0.003437613],"study_design_scores_gemma":[0.0006042925,0.000004333878,0.000001453736,0.00005074564,0.00001840155,0.000001820364,0.00000207033,0.1505832,0.000001874556,0.00000888642,0.8484914,0.0002315171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.373879e-8,0.001402359,0.3745527,0.000009644419,0.0004220417,0.0002250972,0.00001685828,0.001587858,0.6217834],"genre_scores_gemma":[0.001922468,0.0001610884,0.003264816,0.00004827612,0.0005380867,0.0000412401,0.00001302101,0.0008986431,0.9931124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3713289,"threshold_uncertainty_score":0.9986138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100908118474623,"score_gpt":0.1727461684903743,"score_spread":0.1676452603718997,"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."}}