{"id":"W4414273763","doi":"10.1016/j.conengprac.2025.106578","title":"Neural network-based state observation utilizing a history-of-error performance index","year":2025,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Backpropagation; Artificial neural network; Robustness (evolution); Parametric statistics; Convergence (economics); Nonlinear system; Bounded function","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":[0.0005831236,0.0004623616,0.0003895027,0.0002864832,0.0001682663,0.0005020811,0.0006990123,0.0005273178,0.000679887],"category_scores_gemma":[0.002349679,0.0001743479,0.0002274911,0.0002693204,0.0003688586,0.001161533,0.0005139313,0.0006326782,0.0001695276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493935,"about_ca_system_score_gemma":0.0004321933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745433,"about_ca_topic_score_gemma":0.003350177,"domain_scores_codex":[0.9996898,0.00004170817,0.00002807797,0.00007494259,0.0001473451,0.00001816051],"domain_scores_gemma":[0.9992291,0.0002572435,0.0001546898,0.0001058382,0.0002355562,0.00001754426],"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":[0.0002903681,0.00020451,0.005009826,0.0003615773,0.0001297527,0.0001453422,0.0001485422,0.4588752,0.08042894,0.007761879,0.0008035223,0.4458405],"study_design_scores_gemma":[0.000006991456,0.00008647078,0.00115732,0.00001403006,0.00001522067,0.00004367519,0.00000471224,0.9842762,0.01291103,0.0007202381,0.0007527245,0.00001137471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03273481,0.0003269331,0.9640257,0.00008159091,0.0000648484,0.00004546444,0.00002210741,0.0004082936,0.002290298],"genre_scores_gemma":[0.901289,0.0003681316,0.09557824,0.00005646321,0.00005201883,0.00007472303,0.00006671582,0.00002852496,0.002486227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002745433,"threshold_uncertainty_score":0.005458951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643673457301683,"score_gpt":0.2283471868261848,"score_spread":0.211910452253168,"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."}}