{"id":"W2416762119","doi":"10.1002/aic.15351","title":"Communication delays and data losses in distributed adaptive high‐gain EKF","year":2016,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Extended Kalman filter; Kalman filter; Nonlinear system; Convergence (economics); Control theory (sociology); Computer science; Process (computing); State (computer science); Compensation (psychology); Control engineering; Engineering; Algorithm; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020505,0.001119278,0.0008122993,0.0003006467,0.0006880721,0.00100425,0.001231592,0.001433777,0.0009065238],"category_scores_gemma":[0.007287801,0.0004590249,0.0004373263,0.0003700806,0.001401542,0.002832065,0.001009821,0.00148335,0.0001777121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009829435,"about_ca_system_score_gemma":0.0009445304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004122134,"about_ca_topic_score_gemma":0.001422969,"domain_scores_codex":[0.9989312,0.000243118,0.00006122892,0.0002585772,0.0003790547,0.0001268532],"domain_scores_gemma":[0.9964779,0.002180809,0.0004293282,0.000237521,0.0006182464,0.00005617415],"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":[0.0001924328,0.00003048584,0.0007507644,0.0000943593,0.00002626843,0.0004117241,0.0001439823,0.9658114,0.00384585,0.01012575,0.0003334242,0.01823351],"study_design_scores_gemma":[0.00002245253,0.00005340928,0.0002358266,0.000007096708,0.0000160215,0.00006609943,0.00002775645,0.9926422,0.002902198,0.003574329,0.000442842,0.000009734569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04330003,0.0003815683,0.9547155,0.0002104993,0.00005919511,0.00003056987,0.00002404451,0.0001453032,0.001133208],"genre_scores_gemma":[0.9752228,0.0003794592,0.02169759,0.00005858926,0.00006192428,0.00008555482,0.00004219938,0.00004318652,0.002408702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004122134,"threshold_uncertainty_score":0.01084423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993511587621046,"score_gpt":0.2443243645505969,"score_spread":0.2243892486743864,"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."}}