{"id":"W2917426533","doi":"10.1137/17m1127016","title":"A Note on the Separation of Optimal Quantization and Control Policies in Networked Control","year":2019,"lang":"en","type":"article","venue":"SIAM Journal on Control and Optimization","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear-quadratic-Gaussian control; Optimal control; Mathematics; Quadratic equation; Confusion; Quantization (signal processing); Gaussian; Control theory (sociology); Control (management); Linear-quadratic regulator; Formalism (music); Stochastic control; Separation principle; Mathematical optimization; Applied mathematics; Discrete mathematics; Computer science; Algorithm; Artificial intelligence; Nonlinear system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007330385,0.0001840885,0.0003974177,0.0001554763,0.00009224684,0.0001038166,0.00008223952,0.0001161654,0.00002047778],"category_scores_gemma":[0.0001076692,0.0001307174,0.00006226667,0.000152735,0.00004546553,0.0002101297,0.000003923266,0.0002409265,0.000002891091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005451182,"about_ca_system_score_gemma":0.00002431254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001012941,"about_ca_topic_score_gemma":0.00001566364,"domain_scores_codex":[0.9986799,0.000225425,0.0005044382,0.0001470321,0.0002269888,0.0002161589],"domain_scores_gemma":[0.9988682,0.0006327433,0.0001866372,0.0001334105,0.0001157542,0.00006328252],"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":[0.000759546,0.00002507699,0.003474895,0.00002251342,0.00005418988,0.000001066627,0.0002676832,0.9915342,0.0009996379,0.001622251,0.00002609341,0.001212817],"study_design_scores_gemma":[0.006814827,0.0003822318,0.006131577,0.0001205011,0.00003681217,0.00001078321,0.0001220087,0.985985,0.00002980911,0.00006536351,0.0001701989,0.0001309146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4200694,0.001340092,0.5728987,0.002564597,0.0005404823,0.001371029,0.00002510976,0.00005546953,0.001135052],"genre_scores_gemma":[0.9989659,0.0002303985,0.0001261863,0.0004566855,0.0001557131,0.00001973169,0.000003138289,0.00001880761,0.00002343236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5788965,"threshold_uncertainty_score":0.5330502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005883936205959426,"score_gpt":0.2189373121288085,"score_spread":0.2130533759228491,"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."}}