{"id":"W3210007706","doi":"10.1007/978-3-030-81843-2_19","title":"The Inconsistent Linear Quadratic Regulator","year":2021,"lang":"en","type":"book-chapter","venue":"Springer finance","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Linear-quadratic regulator; Regulator; Quadratic equation; State (computer science); Point (geometry); Control (management); Simple (philosophy); Mathematics; Term (time); Computer science; Optimal control; Mathematical optimization; Physics; Algorithm; Geometry; Artificial intelligence; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007614612,0.0006535635,0.0008625671,0.0005435538,0.0004359276,0.001824369,0.0007467836,0.001574693,0.009089649],"category_scores_gemma":[0.00197569,0.0005499248,0.0004676159,0.0007311633,0.002101945,0.002359059,0.001009934,0.004095345,0.002792443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009713998,"about_ca_system_score_gemma":0.0007151023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008282149,"about_ca_topic_score_gemma":0.0006227217,"domain_scores_codex":[0.9995684,0.0001204583,0.00001504462,0.00006529809,0.0002075873,0.00002325355],"domain_scores_gemma":[0.9996188,0.0002165406,0.00002262328,0.00006675535,0.00006203417,0.00001319793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008945499,0.000009069505,0.00002216018,0.00005092757,0.000006602328,0.00002116637,0.00002902081,0.003244751,0.0003019804,0.9350076,0.030584,0.03071387],"study_design_scores_gemma":[0.00000515254,0.00001108439,0.00007407847,0.00005268528,0.00000565926,0.0000405554,0.00001269054,0.01224303,0.0002405236,0.8935,0.09380428,0.00001022195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003306618,0.03794967,0.3149849,0.01203323,0.004932281,0.00003568095,0.0002045503,0.0003779989,0.626175],"genre_scores_gemma":[0.1899991,0.03042197,0.06245135,0.008081016,0.007140989,0.0001828876,0.0004272141,0.0006655388,0.7006298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009089649,"threshold_uncertainty_score":0.03040791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007229582690630675,"score_gpt":0.184248916096649,"score_spread":0.1770193334060183,"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."}}