{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574073,0.0008152525,0.001472804,0.0004491193,0.0005154386,0.001130717,0.0008274887,0.0009987849,0.001354603],"category_scores_gemma":[0.004064415,0.0004397201,0.0007624341,0.0005313511,0.00113462,0.0008173013,0.001989888,0.0009914162,0.0001957271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008592067,"about_ca_system_score_gemma":0.001257973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00586699,"about_ca_topic_score_gemma":0.002571818,"domain_scores_codex":[0.9987279,0.0004359061,0.00004780655,0.0003514876,0.0002610972,0.0001758343],"domain_scores_gemma":[0.9981685,0.0009435158,0.0003906981,0.0001101894,0.0003026824,0.00008447851],"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":[0.00003898722,0.00002417832,0.0003517816,0.00005737027,0.00004089302,0.00005149553,0.00006113846,0.9761332,0.0009207721,0.01459103,0.0003488979,0.007380257],"study_design_scores_gemma":[0.00000854068,0.00002730056,0.00007685337,0.000002852088,0.000003536418,0.000004090281,0.000009095903,0.9962845,0.0001338238,0.00329925,0.0001471444,0.000002927407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03767359,0.0002462482,0.9565302,0.0002743487,0.00005703819,0.00005814315,0.0000457208,0.00009911199,0.005015591],"genre_scores_gemma":[0.9549813,0.0003091776,0.04020172,0.00008512152,0.000088028,0.0002223451,0.00009556662,0.0000377359,0.003979038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00586699,"threshold_uncertainty_score":0.0116657,"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."}}