{"id":"W1986453422","doi":"10.1016/j.sysconle.2014.11.007","title":"Distributed moving horizon state estimation: Simultaneously handling communication delays and data losses","year":2014,"lang":"en","type":"article","venue":"Systems & Control Letters","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Liaoning Province; University of Alberta","keywords":"Estimator; Observer (physics); Nonlinear system; State (computer science); Control theory (sociology); Computer science; Process (computing); Bounded function; Process state; State estimator; Mathematical optimization; Mathematics; Algorithm; Artificial intelligence; Statistics; Control (management)","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":[0.001305856,0.0007749991,0.0009521903,0.0003073742,0.0005055343,0.0008315021,0.001071748,0.0008906289,0.0008606989],"category_scores_gemma":[0.005863454,0.0004407277,0.0003129286,0.0005476567,0.0005278765,0.001482448,0.001010255,0.001107046,0.0001765573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059052,"about_ca_system_score_gemma":0.0009759946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0026173,"about_ca_topic_score_gemma":0.002818087,"domain_scores_codex":[0.9994192,0.0001648142,0.00003399921,0.0001435205,0.0001696182,0.00006887148],"domain_scores_gemma":[0.997404,0.001625485,0.0002481112,0.0003109736,0.0003464519,0.00006487409],"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":[0.0005668087,0.00009938847,0.0008397111,0.000122331,0.00007986187,0.0001501683,0.0000883879,0.8286822,0.01070272,0.008957652,0.00105736,0.1486534],"study_design_scores_gemma":[0.00001380589,0.00003484147,0.0001254178,0.000002761498,0.000009027123,0.00001447123,0.000004144388,0.9956906,0.002012562,0.001889024,0.0001988562,0.000004499317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02495899,0.0001784106,0.9737563,0.000136821,0.00006763033,0.00001306704,0.00002218121,0.0001895035,0.0006770184],"genre_scores_gemma":[0.9118475,0.0001514242,0.08602583,0.00008558558,0.00009062894,0.00003931018,0.0000709863,0.00004234935,0.001646273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0026173,"threshold_uncertainty_score":0.006906152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007016049021103984,"score_gpt":0.213731578786518,"score_spread":0.206715529765414,"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."}}