{"id":"W2996269454","doi":"10.1016/j.ifacol.2021.06.171","title":"Ergodicity Conditions for Controlled Stochastic Nonlinear Systems under Information Constraints","year":2021,"lang":"en","type":"preprint","venue":"IFAC-PapersOnLine","topic":"Control Systems and Identification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Ergodicity; Mathematics; Pointwise; Ergodic theory; Bounded function; Stationary ergodic process; Nonlinear system; Applied mathematics; Upper and lower bounds; Pointwise convergence; Entropy (arrow of time); Linearization; Channel capacity; Pure mathematics; Mathematical analysis; Computer science; Coding (social sciences); Invariant measure","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004078018,0.0004824408,0.001094094,0.0002480987,0.0001666017,0.0005385992,0.0002516579,0.0005374324,0.0001163692],"category_scores_gemma":[0.0002560068,0.000495513,0.0004344425,0.0001297656,0.00008891524,0.0003494906,0.00007370118,0.0005189487,0.00006035641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003154713,"about_ca_system_score_gemma":0.0002376979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521341,"about_ca_topic_score_gemma":0.0001546498,"domain_scores_codex":[0.9976051,0.00007046069,0.001188763,0.0003650263,0.0003656552,0.00040501],"domain_scores_gemma":[0.9980285,0.0002831265,0.000364922,0.0005525029,0.0006055274,0.0001654033],"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":[0.00009946722,0.00009481055,0.000007459706,0.001617164,0.001014019,0.000002868726,0.0006516664,0.9873219,0.006877409,0.001012656,0.0001859682,0.001114577],"study_design_scores_gemma":[0.005228839,0.00002876155,0.0002772657,0.0005754978,0.0003574096,0.00002064051,0.001693357,0.9907384,0.00003060843,0.00007414204,0.0004269388,0.000548172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460464,0.002447953,0.8263392,0.0005265388,0.009086405,0.006840329,0.006764648,0.0009620467,0.0009864084],"genre_scores_gemma":[0.979632,0.00006227292,0.007923208,0.0000941993,0.0009644756,0.001454686,0.009489435,0.00006936491,0.000310355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8335856,"threshold_uncertainty_score":0.9997497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314874124440793,"score_gpt":0.2389244199351382,"score_spread":0.2257756786907303,"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."}}