{"id":"W2964384356","doi":"10.1109/isie.2019.8781450","title":"Optimal Sampling Rate and Quantization for Networked Control Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Quantization (signal processing); Sampling (signal processing); Computer science; Control theory (sociology); Networked control system; Queueing theory; Norm (philosophy); Upper and lower bounds; Control system; Mathematics; Mathematical optimization; Control (management); Algorithm; Telecommunications; Computer network; Artificial intelligence; Engineering","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":[0.002134131,0.0005785663,0.0007387333,0.0003580379,0.0003167931,0.001098755,0.0006288781,0.0007023471,0.001045934],"category_scores_gemma":[0.008052425,0.0002309117,0.0003370378,0.000474685,0.001175786,0.001622962,0.0009019781,0.0009569397,0.00009770618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139614,"about_ca_system_score_gemma":0.001112648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874319,"about_ca_topic_score_gemma":0.000962733,"domain_scores_codex":[0.9985745,0.00056591,0.00008015869,0.0002312787,0.0004482685,0.00009987019],"domain_scores_gemma":[0.9976298,0.001570195,0.0002822605,0.000125147,0.0003380091,0.0000547072],"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":[0.0001582545,0.00004162702,0.0003823398,0.000217048,0.00002329033,0.00005059454,0.0001517352,0.7776523,0.006525866,0.1809773,0.0004987241,0.03332102],"study_design_scores_gemma":[0.00001299327,0.00005178094,0.0001056986,0.00001582725,0.000006174851,0.00001400524,0.000015971,0.9704106,0.001367285,0.02756728,0.0004202737,0.00001210945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01591836,0.0006837727,0.9808115,0.0002610443,0.0000656081,0.00002844636,0.00002248445,0.0000554949,0.002153349],"genre_scores_gemma":[0.8882532,0.001113568,0.108421,0.0001040629,0.0001117666,0.0001025416,0.00004343656,0.00005488654,0.001795479],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002134131,"threshold_uncertainty_score":0.0112865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369138432736329,"score_gpt":0.216833917116353,"score_spread":0.2031425327889897,"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."}}