{"id":"W2922317452","doi":"10.1109/taes.2019.2902679","title":"Linear- and Linear-Matrix-Inequality-Constrained State Estimation for Nonlinear Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Extended Kalman filter; Invariant extended Kalman filter; Kalman filter; Mathematics; Mathematical optimization; Linear matrix inequality; Constrained optimization; Control theory (sociology); Computer science; Statistics","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":[0.0009060088,0.001113819,0.0008757414,0.0004158572,0.0003604711,0.001408975,0.0006736141,0.001052036,0.002828187],"category_scores_gemma":[0.003923561,0.0004225596,0.000769664,0.0009260874,0.001200665,0.001453209,0.001052071,0.001562885,0.0006738767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00076208,"about_ca_system_score_gemma":0.001125023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008086761,"about_ca_topic_score_gemma":0.005109437,"domain_scores_codex":[0.9990646,0.0003001047,0.00006526069,0.000194799,0.0003106248,0.00006459704],"domain_scores_gemma":[0.9987734,0.0008099068,0.000133612,0.00007987374,0.00018718,0.00001610121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004230441,0.00004100972,0.0005856726,0.0003705441,0.0001117299,0.0001920512,0.0001062779,0.8364452,0.003533585,0.08248771,0.002488525,0.07359532],"study_design_scores_gemma":[0.000003936933,0.00001729568,0.0001554166,0.00002114715,0.000009481647,0.0000220317,0.000009854183,0.9840685,0.0006956547,0.0129574,0.002029354,0.00001011284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001263365,0.000581947,0.9956792,0.0001503452,0.00005440823,0.0000192913,0.00003958125,0.00006743593,0.002144554],"genre_scores_gemma":[0.6422386,0.006477418,0.3347604,0.0003676437,0.0007160053,0.000567871,0.0005683434,0.000211264,0.0140924],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008086761,"threshold_uncertainty_score":0.01607943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143112960534394,"score_gpt":0.2598942872533026,"score_spread":0.2484631576479587,"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."}}