{"id":"W4406066985","doi":"10.1016/j.automatica.2024.112079","title":"Distributed state estimation for discrete-time uncertain linear systems over jointly connected switching networks","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Key Research and Development Program of China; China National Funds for Distinguished Young Scientists; Natural Science Foundation of Beijing Municipality; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"State (computer science); Discrete time and continuous time; Computer science; Estimation; Control theory (sociology); Linear system; Distributed computing; Mathematics; Control (management); Engineering; Algorithm; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003720613,0.0002512703,0.0004926565,0.00009214129,0.0001425182,0.0001515484,0.0001868897,0.0001329812,0.00001766077],"category_scores_gemma":[0.0003382763,0.0002332539,0.0001204164,0.000322265,0.00002618947,0.0001748461,0.00002629336,0.0001496663,0.0000217008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078436,"about_ca_system_score_gemma":0.00004522772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000887238,"about_ca_topic_score_gemma":0.00001315328,"domain_scores_codex":[0.9984304,0.00008511872,0.0006621114,0.0002421548,0.0001689382,0.0004113287],"domain_scores_gemma":[0.9984334,0.0009259695,0.00009108266,0.0003755193,0.00009457388,0.00007950154],"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":[0.00003835108,0.00001891339,0.000104638,0.0006176403,0.000226976,0.000002457088,0.0001764757,0.9914515,0.0006913613,0.001951924,0.002283053,0.002436689],"study_design_scores_gemma":[0.0008878733,0.00003680576,0.0008723881,0.0003955005,0.00007139491,0.000002181451,0.00007385226,0.9951863,0.0000614981,0.001089143,0.001083505,0.0002395427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04949625,0.0003836448,0.9462739,0.0002130581,0.000671562,0.001212576,0.0001278144,0.001166604,0.0004546434],"genre_scores_gemma":[0.9975665,0.000004013053,0.001614535,0.00003652901,0.00006988263,0.0002943614,0.0002063763,0.00003494641,0.0001728756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9480702,"threshold_uncertainty_score":0.9511817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005839109609738922,"score_gpt":0.2380544690229321,"score_spread":0.2322153594131932,"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."}}