{"id":"W2062184689","doi":"10.1016/j.automatica.2014.07.015","title":"A novel approach to unknown input filter design for discrete-time linear systems","year":2014,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Filter (signal processing); Filter design; Linear system; Lyapunov function; Computer science; Mathematics; Linear filter; Nonlinear system; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003652753,0.0001802186,0.0003150557,0.00008681016,0.00006183342,0.0000841441,0.0001731183,0.00009868921,0.00001086575],"category_scores_gemma":[0.0001083849,0.0001542181,0.00007924963,0.000142597,0.00001095103,0.00006884431,0.00001613422,0.00007028692,0.0004271194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004562711,"about_ca_system_score_gemma":0.000008866097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108404,"about_ca_topic_score_gemma":6.269463e-7,"domain_scores_codex":[0.9989942,0.0000451652,0.0003211796,0.0001916133,0.0001528888,0.0002949912],"domain_scores_gemma":[0.9993,0.0001791686,0.00003163607,0.0003174477,0.00003627954,0.0001354396],"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":[0.00004551273,0.0001142385,0.000003253207,0.001167404,0.0002900872,5.386525e-7,0.001277212,0.8879645,0.07027096,0.004610918,0.02884002,0.00541533],"study_design_scores_gemma":[0.0005045062,0.00007759688,0.00001664046,0.00005387715,0.0000202421,0.00001115289,0.00001934884,0.9368073,0.0005002713,0.00001930986,0.06176848,0.0002013281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001953013,0.00002827227,0.9870447,0.00006294367,0.0004442785,0.001082295,0.00001570497,0.0009420828,0.008426691],"genre_scores_gemma":[0.9482942,3.587525e-7,0.04798011,0.0001070612,0.0003869758,0.0009310677,0.00001196427,0.00007841861,0.002209896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9463412,"threshold_uncertainty_score":0.6288831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605231417448733,"score_gpt":0.2213010318239648,"score_spread":0.2052487176494774,"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."}}