{"id":"W4414859281","doi":"10.22541/au.175978297.72455436/v1","title":"PHYSICS-AWARE TUNING OF UNSCENTED KALMAN FILTER TO ESTIMATE PARAMETERS, QUANTIFY ABRUPT PARAMETER CHANGE, AND QUANTIFY UNCERTAINTY IN IDENTIFICATION OF A DYNAMIC SYSTEM WITH MANY DOFS","year":2025,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Polytechnique Montréal","funders":"","keywords":"Kalman filter; Control theory (sociology); Unscented transform; Identification (biology); Nonlinear system; Estimation theory; Extended Kalman filter","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":[0.001296388,0.001032071,0.0006754131,0.0005746637,0.0003136036,0.0007624661,0.0007390886,0.0007539586,0.0005892136],"category_scores_gemma":[0.00414709,0.0003595018,0.0006347232,0.0002307528,0.0006746189,0.001058108,0.001127024,0.0007910535,0.0001769689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250384,"about_ca_system_score_gemma":0.0009630123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004291895,"about_ca_topic_score_gemma":0.003107555,"domain_scores_codex":[0.9993795,0.0001366143,0.00004443228,0.0001469978,0.0002236032,0.0000687562],"domain_scores_gemma":[0.9989035,0.0004953414,0.0002025475,0.0001259629,0.00023054,0.00004204824],"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":[0.00006525325,0.00003641747,0.001504801,0.0001169533,0.00004139036,0.00005362265,0.00009916521,0.941872,0.0125104,0.003236187,0.0002622659,0.04020153],"study_design_scores_gemma":[0.000004591148,0.00003498334,0.000539064,0.000008764856,0.000006428204,0.00001615013,0.00001248124,0.9959719,0.002307593,0.0008722334,0.0002146804,0.00001113218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0336322,0.0001781971,0.9645654,0.00007174174,0.0000226948,0.00002766558,0.00002402239,0.0002797108,0.001198396],"genre_scores_gemma":[0.9122362,0.0001726349,0.0865113,0.0000687502,0.00002006751,0.0001099539,0.00008898701,0.0000643655,0.0007277507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004291895,"threshold_uncertainty_score":0.008533835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774111547912703,"score_gpt":0.2740633665000187,"score_spread":0.2563222510208916,"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."}}