{"id":"W2912234026","doi":"10.1109/cdc.2018.8619673","title":"Non-Asymptotic State and Input Estimation for Smooth Linear Parameter Varying Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Observability; Control theory (sociology); Nonlinear system; Linear system; Kalman filter; Estimator; Kernel (algebra); Computer science; Mathematics; Scalar (mathematics); Applied mathematics; Mathematical optimization; Artificial intelligence; Mathematical analysis","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":[0.0009684261,0.0004145403,0.0005692347,0.0003679044,0.0002953944,0.00079498,0.0003372372,0.000540642,0.001030033],"category_scores_gemma":[0.005940766,0.0002769872,0.0003606229,0.0003823047,0.0009674347,0.0007277175,0.000794127,0.001317378,0.000212972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371487,"about_ca_system_score_gemma":0.0005465184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003377086,"about_ca_topic_score_gemma":0.00247422,"domain_scores_codex":[0.999567,0.0001119033,0.00002297769,0.00009704519,0.0001645507,0.00003648797],"domain_scores_gemma":[0.9982275,0.001295349,0.0001622619,0.0001404114,0.0001538086,0.00002049063],"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":[0.0001303564,0.00002626979,0.00176092,0.0002237295,0.00004980977,0.0002465115,0.000319169,0.8006126,0.01207343,0.07418201,0.0006219791,0.1097531],"study_design_scores_gemma":[0.000001633354,0.00001845732,0.0003158815,0.000006779238,0.000003527614,0.0000223599,0.00001352515,0.9895465,0.001044961,0.008568842,0.0004503099,0.000007302495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01257827,0.0001903521,0.9857039,0.00007280221,0.00001827494,0.000007763384,0.00001264337,0.0001448922,0.001271046],"genre_scores_gemma":[0.9125829,0.0004748627,0.08361977,0.00004079509,0.00004115286,0.00004534359,0.00007897827,0.00006013033,0.003056128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003377086,"threshold_uncertainty_score":0.006714821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156369086031487,"score_gpt":0.2285320682318605,"score_spread":0.2169683773715456,"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."}}