{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003017942,0.0009813341,0.00155172,0.0004247099,0.0004586897,0.001240402,0.0005932777,0.001377918,0.001121263],"category_scores_gemma":[0.009960803,0.0005189877,0.0006391077,0.0003169967,0.001679001,0.001901786,0.001651585,0.0011305,0.0002796956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221691,"about_ca_system_score_gemma":0.0007587131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008286017,"about_ca_topic_score_gemma":0.0003289823,"domain_scores_codex":[0.9986456,0.0005782911,0.00008373505,0.0002517588,0.000298246,0.0001424044],"domain_scores_gemma":[0.9941431,0.003933597,0.0008754521,0.0005550587,0.000370896,0.0001219258],"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":[0.0001670024,0.00006593784,0.0004020394,0.000220547,0.00006638595,0.0001371286,0.0001555669,0.9380261,0.01440934,0.032244,0.0003757862,0.01373012],"study_design_scores_gemma":[0.00003128165,0.0002106356,0.0001837233,0.00001710915,0.00001614133,0.00004340207,0.00003607401,0.9654607,0.003505708,0.03016959,0.0003110455,0.00001463578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09188941,0.0004827092,0.903006,0.0004171188,0.0000232698,0.00004352838,0.00006742342,0.0005109955,0.003559605],"genre_scores_gemma":[0.9638872,0.0002091902,0.03500568,0.00009274695,0.0000288469,0.00009303459,0.00007425745,0.0000375702,0.0005715432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003017942,"threshold_uncertainty_score":0.01596063,"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."}}