{"id":"W2117117430","doi":"10.1109/acc.2006.1657347","title":"Observer design using a time scaled block triangular observer form","year":2006,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observer (physics); Control theory (sociology); Exponential stability; Scaling; State observer; Exponential function; Alpha beta filter; Separation principle; Nonlinear system; Mathematics; Block (permutation group theory); Dimension (graph theory); Computer science; Mathematical analysis; Control (management); Artificial intelligence; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000269714,0.0002552791,0.0003617691,0.00008043485,0.0000551396,0.00005616763,0.0001828763,0.0001417717,0.0002365355],"category_scores_gemma":[0.00002315093,0.0002336734,0.0001526904,0.0002010595,0.00002174906,0.0002456791,0.00002919386,0.0001129118,0.0004847051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728671,"about_ca_system_score_gemma":0.00002633845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415944,"about_ca_topic_score_gemma":0.00003157822,"domain_scores_codex":[0.998703,0.00005181849,0.0004033031,0.0002105922,0.0002279104,0.0004033473],"domain_scores_gemma":[0.9993944,0.00009399869,0.00004584069,0.0003052781,0.00007793499,0.00008253361],"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":[0.0001269538,0.0001531132,0.001436393,0.0001279541,0.0004905528,0.0001763385,0.00009434776,0.6799679,0.2916411,0.0006533822,0.02385743,0.001274548],"study_design_scores_gemma":[0.001577538,0.00003371899,0.002720895,0.00003960405,0.00006538609,0.00002438504,0.00000888135,0.984921,0.004991658,0.0001349141,0.005091575,0.0003904611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5590746,0.001585122,0.4237276,0.00006068784,0.0005796056,0.00127896,0.00001861653,0.001549773,0.01212503],"genre_scores_gemma":[0.9461327,0.000001608298,0.04543961,0.00004366138,0.0006889009,0.00001774677,0.00001046622,0.0001145032,0.007550784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870581,"threshold_uncertainty_score":0.9528926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280564095032545,"score_gpt":0.2048408482983825,"score_spread":0.176784438795128,"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."}}