{"id":"W2128848148","doi":"10.1109/acc.2008.4586762","title":"Combined variable structure and Kalman Filtering approach","year":2008,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Extended Kalman filter; Control theory (sociology); Kalman filter; Invariant extended Kalman filter; Alpha beta filter; Computer science; Fast Kalman filter; Ensemble Kalman filter; Variable (mathematics); Nonlinear system; Stability (learning theory); Unscented transform; State variable; Estimation theory; Filter (signal processing); Mathematics; Moving horizon estimation; Algorithm; Artificial intelligence; Physics; Computer vision","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":[0.0005277215,0.0005334668,0.0010691,0.0008568619,0.0002817205,0.001048454,0.0009300909,0.001068225,0.002687826],"category_scores_gemma":[0.001203711,0.0002785441,0.0008523015,0.0005710582,0.0003248082,0.001551904,0.0007903283,0.0007135352,0.0009105848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266341,"about_ca_system_score_gemma":0.0008901356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003021741,"about_ca_topic_score_gemma":0.003033331,"domain_scores_codex":[0.999222,0.0001192728,0.00003672291,0.0001764109,0.0003887346,0.00005688542],"domain_scores_gemma":[0.9995763,0.0001428236,0.00003681923,0.00006563963,0.0001632483,0.0000152388],"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":[0.0001766663,0.00009909919,0.001666383,0.0004195391,0.0003522964,0.0002874353,0.0001648886,0.2743539,0.02093047,0.09205412,0.003897086,0.6055982],"study_design_scores_gemma":[0.00003315922,0.0001732645,0.0008768393,0.00004470887,0.0001465716,0.0002376086,0.0000233341,0.9449329,0.005971382,0.0245461,0.0229608,0.00005332952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001916698,0.0006088684,0.9942952,0.00006130618,0.00008650794,0.00001706496,0.00002767163,0.0002941305,0.002692617],"genre_scores_gemma":[0.396328,0.003014654,0.578613,0.0002191901,0.0004891888,0.0002107622,0.0003722989,0.0001283028,0.02062452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003021741,"threshold_uncertainty_score":0.008991599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007164697811043372,"score_gpt":0.1691340348818794,"score_spread":0.161969337070836,"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."}}