{"id":"W2161820093","doi":"10.1109/acc.2009.5160497","title":"Decentralized suboptimal control via limited capacity channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decentralised system; Control theory (sociology); Computer science; Stability (learning theory); Noise (video); Gaussian; LTI system theory; Noise measurement; Channel capacity; Transfer function; Control system; Gaussian noise; Control engineering; Gaussian process; Linear system; Distributed computing; Control (management); Engineering; Mathematics; Algorithm; Channel (broadcasting); Noise reduction; Telecommunications; Artificial intelligence","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":[0.0001701168,0.0001818437,0.0003099806,0.00005171751,0.00004611864,0.00004803199,0.0001443649,0.0001099569,0.0002228219],"category_scores_gemma":[0.00003017275,0.0001629613,0.000117693,0.0001335123,0.0000233179,0.0001359981,0.00000308703,0.0001208987,0.00008159809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007058992,"about_ca_system_score_gemma":0.00000704878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005193458,"about_ca_topic_score_gemma":0.00001693896,"domain_scores_codex":[0.998946,0.00003869116,0.0002793074,0.0001679295,0.0001640996,0.000403934],"domain_scores_gemma":[0.9994643,0.00007585464,0.00002114105,0.0002447945,0.00005312315,0.000140803],"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":[0.001453862,0.0008332427,0.005278294,0.0002909746,0.001170639,0.00009281737,0.003581361,0.5056303,0.3185514,0.0397253,0.01049312,0.1128987],"study_design_scores_gemma":[0.004748091,0.0001865009,0.006659973,0.00002222882,0.0000459589,0.00002004874,0.00006295549,0.971687,0.004871908,0.001380347,0.009775164,0.000539806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.634747,0.0008494211,0.3254694,0.001250812,0.001299545,0.0009240911,0.00001727108,0.002066642,0.03337578],"genre_scores_gemma":[0.9988829,0.00001115763,0.0004137412,0.0004370575,0.0001409038,0.00001650072,0.000003356563,0.00001326846,0.00008112261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660567,"threshold_uncertainty_score":0.6645371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119798556227931,"score_gpt":0.194105744340869,"score_spread":0.1821258887180759,"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."}}