{"id":"W1657316353","doi":"10.1109/acc.2015.7171021","title":"Constrained optimal boundary state estimation for dissipative systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dissipative system; Boundary (topology); Realization (probability); Operator (biology); Optimal control; State (computer science); Dissipative operator; Control theory (sociology); Filter (signal processing); Distributed parameter system; Generator (circuit theory); Boundary value problem; Mathematics; Computer science; Mathematical optimization; Applied mathematics; Control (management); Mathematical analysis; Physics; Algorithm; Partial differential equation","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":[0.0001838744,0.00009425361,0.0001487652,0.00003334309,0.00005419726,0.00008764204,0.00005716158,0.00003612628,0.00002525239],"category_scores_gemma":[0.0001695244,0.00008825017,0.00004399518,0.00005647793,0.00006196071,0.0001649796,0.000006807305,0.00004331209,0.00001807761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007971958,"about_ca_system_score_gemma":0.00006169199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001978288,"about_ca_topic_score_gemma":0.00002233565,"domain_scores_codex":[0.9994046,0.00002109657,0.0002061422,0.0001075593,0.0001107357,0.00014987],"domain_scores_gemma":[0.9994867,0.0001474984,0.000018734,0.0001203955,0.0001248775,0.0001018121],"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":[0.00008811197,0.00007640166,0.0001578161,0.000185145,0.0001277749,3.778879e-7,0.002235166,0.9567504,0.0004230943,0.01782012,0.0008813962,0.02125419],"study_design_scores_gemma":[0.0008357288,0.00007648709,0.0002666532,0.000007778983,0.00001683158,6.798277e-7,0.0005228748,0.9926533,0.0001923034,0.004517031,0.0007961298,0.0001142438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1675931,0.00006993731,0.8289843,0.0001109993,0.0003467284,0.0005364749,0.00009178907,0.0002864056,0.001980244],"genre_scores_gemma":[0.9922465,7.027325e-7,0.007316114,0.000008006001,0.0000270559,0.0001493043,0.00005634571,0.00001124281,0.0001847491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8246534,"threshold_uncertainty_score":0.3598737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748555761043604,"score_gpt":0.2556231984126293,"score_spread":0.2281376408021932,"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."}}