{"id":"W2099338753","doi":"10.1109/cdc.2008.4739435","title":"Optimal filtering in multiple channel networked control systems with multiple packet dropout","year":2008,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dropout (neural networks); Network packet; Filtering problem; Computer science; Norm (philosophy); Channel (broadcasting); Filter (signal processing); Representation (politics); Filter design; Control theory (sociology); Generalization; Mathematics; Mathematical optimization; Control (management); Artificial intelligence; Computer network","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":[0.001524546,0.0006493828,0.001237607,0.0003867224,0.0004719232,0.001111027,0.0005202757,0.0009904404,0.0006434121],"category_scores_gemma":[0.003178654,0.0003768613,0.0006588217,0.0005337425,0.001007347,0.001219013,0.0007800199,0.0008355802,0.00007713566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009774705,"about_ca_system_score_gemma":0.001160674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007096435,"about_ca_topic_score_gemma":0.002803081,"domain_scores_codex":[0.9991165,0.0002431302,0.00006281571,0.0002294327,0.0002374795,0.0001106938],"domain_scores_gemma":[0.9987229,0.0008100268,0.0002122871,0.00004086572,0.0001844107,0.00002951312],"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":[0.00008579491,0.00003121015,0.0004506467,0.0001476615,0.00004387541,0.0001219508,0.00008717284,0.9583584,0.001556418,0.01845682,0.0003099205,0.02035011],"study_design_scores_gemma":[0.00001332438,0.00004098701,0.0001791195,0.000005667689,0.00001170973,0.00001132996,0.00001381667,0.9927249,0.000450651,0.006298508,0.0002438878,0.000006045931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03514102,0.0006867397,0.9617317,0.0003721011,0.00006985631,0.00002588483,0.00003414169,0.0001061193,0.001832424],"genre_scores_gemma":[0.9734949,0.0009306039,0.02303061,0.00009624927,0.000100542,0.00009172721,0.00006017011,0.00002020726,0.002175034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007096435,"threshold_uncertainty_score":0.01411027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597529727080402,"score_gpt":0.1823418387497696,"score_spread":0.1663665414789656,"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."}}