{"id":"W2799595469","doi":"10.1109/tii.2018.2829167","title":"Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Finite impulse response; Outlier; Estimator; Control theory (sociology); Computer science; Robustness (evolution); Impulse response; Realization (probability); Convergence (economics); Mathematics; Algorithm; Mathematical optimization; Artificial intelligence; Statistics","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":[0.0006582563,0.0004126905,0.0006231358,0.0003377565,0.0002516005,0.0004698076,0.0004633511,0.0006954368,0.0004931914],"category_scores_gemma":[0.002702511,0.0002447345,0.0004035831,0.0003484732,0.0004096213,0.0005634277,0.0004595411,0.0007230958,0.0002060098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101719,"about_ca_system_score_gemma":0.0004717811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536928,"about_ca_topic_score_gemma":0.001227881,"domain_scores_codex":[0.9996397,0.00007097692,0.000023217,0.00009985467,0.0001239634,0.00004219726],"domain_scores_gemma":[0.9993223,0.0003498196,0.0001439586,0.00007129447,0.000100084,0.00001259203],"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":[0.0002681162,0.00004983617,0.001867411,0.0001276483,0.00005779393,0.0002355701,0.0001503946,0.7718315,0.03483769,0.01292587,0.0007369176,0.1769113],"study_design_scores_gemma":[0.000003974273,0.00002871095,0.0003570179,0.000004046834,0.000005194067,0.00003410691,0.000006889702,0.9932576,0.004324621,0.001652344,0.0003179461,0.000007511725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02402778,0.00008234262,0.975068,0.00004609084,0.00001698957,0.000007114164,0.00001775873,0.0003101038,0.0004238807],"genre_scores_gemma":[0.8576086,0.0002332487,0.140025,0.00006140705,0.00004952109,0.00003859735,0.0001387569,0.000054973,0.001790078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001536928,"threshold_uncertainty_score":0.003481269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736273178830728,"score_gpt":0.2527262437805008,"score_spread":0.2153635119921935,"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."}}