{"id":"W1907606478","doi":"10.1109/acc.2003.1244027","title":"Generalization of the separation principle beyond constant-gain state-feedback control","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Separation principle; Control theory (sociology); Observer (physics); Eigenvalues and eigenvectors; Constant (computer programming); Generalization; Controller (irrigation); Mathematics; Computer science; Control (management); State observer; Nonlinear system; Mathematical analysis; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009067439,0.0001089743,0.0001484668,0.000038217,0.00004461599,0.00001569168,0.00009258871,0.00004962512,0.00001960226],"category_scores_gemma":[0.00002570224,0.00008417265,0.00004098203,0.0001762806,0.00002994349,0.0001870789,0.000009640644,0.00005043047,0.00001003225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256918,"about_ca_system_score_gemma":0.00003178878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001469207,"about_ca_topic_score_gemma":0.0001050949,"domain_scores_codex":[0.9992532,0.00002923568,0.0003198504,0.0001022755,0.0001559259,0.0001395572],"domain_scores_gemma":[0.9995586,0.00002000851,0.00008193188,0.0002151747,0.00009490294,0.00002939341],"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":[0.000006735862,0.00000728433,0.000335382,0.00001642637,0.0000209865,1.922127e-7,0.00009159607,0.951782,0.03146452,0.0159637,0.00003812441,0.0002730695],"study_design_scores_gemma":[0.00348094,0.00003247748,0.0007930386,0.00003847742,0.00002749214,0.000005085442,0.00004131054,0.9292864,0.06073029,0.004285445,0.001039373,0.0002396396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02539125,0.0001118031,0.9631945,0.00007605734,0.0002455196,0.0005411916,0.00001952529,0.0001626123,0.01025748],"genre_scores_gemma":[0.9956633,0.00001441146,0.00371311,0.00006829323,0.00003218439,0.00002431365,0.00001209714,0.00002331584,0.0004490169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.970272,"threshold_uncertainty_score":0.3432461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004561616137641208,"score_gpt":0.2207300743177682,"score_spread":0.216168458180127,"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."}}