{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003456128,0.000067451,0.0001043697,0.00005120347,0.00005130083,0.00004142364,0.0002129618,0.00004805891,0.0000231241],"category_scores_gemma":[0.00006309785,0.00004734841,0.00001145647,0.00007763852,0.00002082747,0.0002822933,0.00004756214,0.0001619691,0.00001547951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006759269,"about_ca_system_score_gemma":0.00001058491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000573859,"about_ca_topic_score_gemma":0.0002494908,"domain_scores_codex":[0.9994664,0.00007534798,0.0001913924,0.00007088358,0.00007904061,0.0001169675],"domain_scores_gemma":[0.9994985,0.00009777408,0.00004004192,0.0002813258,0.0000254067,0.00005693669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007068104,0.0003158941,0.03338029,0.0001323356,0.001174938,0.0002739784,0.002321839,0.01650425,0.1860307,0.003866446,0.08873302,0.6665595],"study_design_scores_gemma":[0.01534323,0.0003970783,0.1543641,0.001540802,0.0001452792,0.002218407,0.003002415,0.6776252,0.005723013,0.0061594,0.132014,0.001467089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8632674,0.004587584,0.1284321,0.001950517,0.0004775526,0.0001813343,0.0001949353,0.0001539401,0.000754589],"genre_scores_gemma":[0.9990262,0.0006243523,0.0002055119,0.00001940496,0.00006925793,0.00000292166,0.000008715565,0.000009326231,0.00003426934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6650924,"threshold_uncertainty_score":0.1930812,"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."}}