{"id":"W2116542819","doi":"10.1002/rnc.3098","title":"filtering of nonlinear plants over networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lipschitz continuity; Quantization (signal processing); Filter (signal processing); Optimization problem; Control theory (sociology); Nonlinear system; Mathematical optimization; Filtering problem; Computer science; Mathematics; Filter design; Algorithm; Artificial intelligence; 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":[0.0003480452,0.0002799658,0.0003878662,0.0002720895,0.0002639473,0.0006829229,0.0002331634,0.0004947141,0.002714118],"category_scores_gemma":[0.001281777,0.0001010031,0.000261903,0.0002976839,0.0004433784,0.0007075702,0.0004672566,0.0005081645,0.0003700825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006666578,"about_ca_system_score_gemma":0.0003436689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004810068,"about_ca_topic_score_gemma":0.002934015,"domain_scores_codex":[0.999796,0.00004596427,0.00001295851,0.00006066891,0.0000613387,0.00002303046],"domain_scores_gemma":[0.9996766,0.0001635779,0.00004663385,0.00003043046,0.00007247079,0.00001032819],"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":[0.00006863221,0.0000144772,0.0005098384,0.0001348323,0.00002322337,0.000118317,0.00007006105,0.8863342,0.009094134,0.0596567,0.001405547,0.04257001],"study_design_scores_gemma":[0.000006171894,0.00002840014,0.000293348,0.00001727662,0.000007269405,0.00002256345,0.00001949312,0.9709269,0.001462509,0.02428655,0.002921798,0.000007733534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02882714,0.0009771589,0.9595619,0.0006758684,0.0001142932,0.00001910449,0.00009744551,0.0002079462,0.009519168],"genre_scores_gemma":[0.9496499,0.002000892,0.03249059,0.000181274,0.0002056532,0.00005375226,0.0001601971,0.00003862485,0.01521908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004810068,"threshold_uncertainty_score":0.009564161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008143900421568942,"score_gpt":0.2076567438002731,"score_spread":0.1995128433787042,"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."}}