{"id":"W4407951408","doi":"10.1109/cdc56724.2024.10886779","title":"Turnpike phenomena in linear-quadratic optimal control subject to delay equations","year":2024,"lang":"en","type":"article","venue":"","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadratic equation; Linear-quadratic-Gaussian control; Control theory (sociology); Control (management); Optimal control; Subject (documents); Computer science; Applied mathematics; Mathematical optimization; Mathematics; Artificial intelligence; Geometry","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":[0.0005521412,0.0004786956,0.0004510203,0.0003189499,0.0003241953,0.0008764393,0.0003198259,0.000555901,0.001918858],"category_scores_gemma":[0.003067936,0.0001741269,0.000280173,0.000199186,0.001787536,0.0006841365,0.0008684728,0.000673196,0.00007387688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007152938,"about_ca_system_score_gemma":0.0004743864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003093892,"about_ca_topic_score_gemma":0.001297703,"domain_scores_codex":[0.9997765,0.00006477364,0.000009878228,0.00003784026,0.00006266962,0.00004830068],"domain_scores_gemma":[0.9986221,0.0008858052,0.0002520106,0.00006319275,0.0001230671,0.00005388363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005920756,0.00005540089,0.001523205,0.0002236298,0.00007344426,0.0007007789,0.0006519997,0.5843928,0.05246452,0.3474241,0.0006365597,0.01126136],"study_design_scores_gemma":[0.00004003742,0.0001243034,0.0005855864,0.00001740182,0.00001252984,0.00004501068,0.00006963902,0.9440312,0.003825992,0.05088681,0.000341003,0.00002049515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5254139,0.000543909,0.456266,0.000451652,0.00007219701,0.00006691672,0.00007983505,0.0001669034,0.01693863],"genre_scores_gemma":[0.9975629,0.00008776425,0.001526381,0.00001728187,0.000004780685,0.00002079165,0.000008257251,0.000007683593,0.0007641674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003093892,"threshold_uncertainty_score":0.006419182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06113426811013625,"score_gpt":0.3795030169541788,"score_spread":0.3183687488440426,"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."}}