{"id":"W2562368661","doi":"10.1109/cdc.2003.1272875","title":"Near optimal LQR performance for a compact set of plants","year":2004,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Set (abstract data type); Control theory (sociology); Controller (irrigation); Compact space; Computer science; Observable; Optimal control; Construct (python library); Mathematical optimization; Linear-quadratic regulator; Mathematics; Topology (electrical circuits); Control (management); Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008258704,0.00006822437,0.0001518843,0.00001648028,0.00002451337,0.00001045381,0.00007706197,0.00003412338,0.00002091567],"category_scores_gemma":[0.000005297948,0.00005862037,0.00004547707,0.00002817798,0.00001963827,0.00006867853,0.000003210828,0.00003358143,0.00001110971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000031455,"about_ca_system_score_gemma":0.00001691491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005753417,"about_ca_topic_score_gemma":0.00001350514,"domain_scores_codex":[0.9995799,0.000002805316,0.0001483114,0.00006128443,0.00006937306,0.0001382972],"domain_scores_gemma":[0.9997882,0.00003819317,0.00001398571,0.000110598,0.00001695008,0.00003213499],"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":[0.00007956542,0.00001365948,0.001497349,0.0002249234,0.00004583298,4.227163e-7,0.0006843435,0.9937957,0.001684362,0.0003075551,0.0003323418,0.001333957],"study_design_scores_gemma":[0.004153638,0.0004217572,0.01047224,0.0001386842,0.00001888683,0.00001502611,0.0006766272,0.9434188,0.02699722,0.00012087,0.01322005,0.0003461716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871261,0.0000832549,0.00948054,0.00004105301,0.0001133447,0.0001979043,0.00003343954,0.0000895418,0.002834785],"genre_scores_gemma":[0.9988706,0.000004277426,0.001009052,0.00001157914,0.00004470178,0.000008774908,0.000005099459,0.000008482543,0.00003746856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05037686,"threshold_uncertainty_score":0.2390469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866649532890097,"score_gpt":0.2276998939206478,"score_spread":0.2090333985917468,"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."}}