{"id":"W3185520260","doi":"10.82308/55504","title":"Team optimal decentralized estimation and control of networked linear quadratic systems","year":2021,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Isfahan University of Technology; Natural Sciences and Engineering Research Council of Canada; University of Southern California; Mitacs; McGill University","keywords":"Estimation; Computer science; Control (management); Quadratic equation; Linear system; Mathematical optimization; Optimal control; Control theory (sociology); Mathematics; Engineering; Artificial intelligence; Systems engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001326458,0.0004581259,0.0009172333,0.0001566594,0.0004759192,0.0002695425,0.0008439078,0.000276009,0.00001432164],"category_scores_gemma":[0.0009603148,0.0004672368,0.0002086574,0.0007836329,0.00008713298,0.001297481,0.0002844956,0.0004240184,0.00006499604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665494,"about_ca_system_score_gemma":0.00009145003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001492334,"about_ca_topic_score_gemma":0.00002663661,"domain_scores_codex":[0.9953043,0.0009928545,0.001213479,0.000940801,0.0007991116,0.0007494765],"domain_scores_gemma":[0.9966689,0.0005634494,0.0006271569,0.001110628,0.0006162102,0.0004136011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002774868,0.0008863173,0.000722646,0.0008524985,0.001033943,0.0003696297,0.00004280831,0.1283862,0.1178296,0.6188942,0.00002997436,0.1306747],"study_design_scores_gemma":[0.005662899,0.0001637628,0.0004805758,0.000388042,0.0001529352,0.0001618522,0.00007498209,0.9669806,0.01455765,0.001169513,0.009534456,0.0006726959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652951,0.005149236,0.1166362,0.0002443099,0.003472926,0.00283915,0.00108172,0.001034671,0.004246726],"genre_scores_gemma":[0.9861303,0.00007594309,0.01326459,0.0001283839,0.00003547388,0.00009254422,0.00005370547,0.00004456736,0.0001745193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8385944,"threshold_uncertainty_score":0.9997779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356625289040589,"score_gpt":0.2283897185549183,"score_spread":0.2148234656645124,"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."}}