{"id":"W1963778407","doi":"10.1109/cdc.2011.6160540","title":"Stochastic stability and ergodicity of linear Gaussian systems controlled over discrete channels","year":2011,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Ergodicity; Mathematics; Exponential stability; Markov chain; Applied mathematics; Gaussian; Stability (learning theory); Noise (video); Markov process; Erasure; Stochastic process; Gaussian noise; Statistical physics; Computer science; Algorithm; Nonlinear system","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":[0.001046647,0.0007972494,0.0008480267,0.0008519532,0.0005043965,0.001262039,0.0006162238,0.0006260343,0.001564929],"category_scores_gemma":[0.008752422,0.0002661628,0.0005183996,0.0005245306,0.001793192,0.00119601,0.001191887,0.000861939,0.0001744618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009409079,"about_ca_system_score_gemma":0.0008724324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831705,"about_ca_topic_score_gemma":0.001352915,"domain_scores_codex":[0.9991111,0.0002024411,0.00005601891,0.0001543522,0.0002926628,0.0001834584],"domain_scores_gemma":[0.9933682,0.00442652,0.001210498,0.0002602124,0.0005613383,0.0001733028],"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":[0.0002757961,0.00006489354,0.001686265,0.0002260635,0.00008971061,0.0005826488,0.0004098158,0.5852142,0.02343599,0.3774319,0.0007199536,0.009862815],"study_design_scores_gemma":[0.00001884667,0.00005008258,0.000409029,0.00001508965,0.00001486316,0.00005929297,0.00002935232,0.9516812,0.003204166,0.04421131,0.0002847947,0.00002198458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277539,0.0008566648,0.7604269,0.0006900663,0.00007404944,0.00005588772,0.000297156,0.0003337089,0.009511782],"genre_scores_gemma":[0.9944405,0.0002184363,0.004286897,0.00002775647,0.00003553711,0.00004439107,0.00003938107,0.00001555253,0.0008916056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001831705,"threshold_uncertainty_score":0.006826758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364938764380185,"score_gpt":0.213579741830051,"score_spread":0.1899303541862492,"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."}}