{"id":"W2061233749","doi":"10.1016/s0016-0032(03)00017-6","title":"A frequency domain approach to state estimation","year":2003,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Control theory (sociology); State observer; Frequency domain; Observer (physics); Computer science; Estimation; State (computer science); Mathematics; Algorithm; Artificial intelligence; Engineering; Control (management); Nonlinear system","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":[0.0005686558,0.0006937945,0.0008989837,0.0009920539,0.0005287928,0.00112637,0.0009612344,0.001071846,0.003046382],"category_scores_gemma":[0.002613822,0.0005060736,0.0007825531,0.0008381879,0.000663828,0.001246862,0.0009843826,0.001364816,0.001029315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364379,"about_ca_system_score_gemma":0.0005973968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003764258,"about_ca_topic_score_gemma":0.00300985,"domain_scores_codex":[0.999605,0.0001278429,0.00002619562,0.00008589809,0.0001281299,0.00002692189],"domain_scores_gemma":[0.9991828,0.0004656214,0.00004166162,0.00010712,0.0001877082,0.00001512911],"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":[0.00008371309,0.0001170184,0.0005443553,0.0001996884,0.0001628374,0.0001289619,0.0001014001,0.4855693,0.007831475,0.1177034,0.003474384,0.3840834],"study_design_scores_gemma":[0.000008094121,0.00002830959,0.0001929609,0.00001263413,0.00002207872,0.00004410001,0.00001448319,0.9605278,0.0008163087,0.03584255,0.002478703,0.00001197723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009206256,0.0002866155,0.9975974,0.00008649802,0.00005360039,0.000006603251,0.00001586245,0.00006472073,0.0009680854],"genre_scores_gemma":[0.2954549,0.002918087,0.6848568,0.0003329326,0.0007607153,0.0001852608,0.0003497229,0.0001184958,0.01502309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003764258,"threshold_uncertainty_score":0.0101912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837581729262628,"score_gpt":0.208340897064465,"score_spread":0.1999650797718387,"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."}}