{"id":"W2126531214","doi":"10.1109/ccece.2011.6030478","title":"Nonlinear adaptive observer design for an electromechanical rotative plant","year":2011,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Concordia University","funders":"","keywords":"Observer (physics); Control theory (sociology); Nonlinear system; Linear matrix inequality; Stability (learning theory); Mathematics; Class (philosophy); Computer science; Control engineering; Mathematical optimization; Engineering; Artificial intelligence; Physics; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000478235,0.0003864139,0.0003859348,0.0001494808,0.0002084432,0.000503786,0.0006228514,0.0005927817,0.001193196],"category_scores_gemma":[0.0008795945,0.0001738625,0.000245388,0.0001251487,0.0003946892,0.000382732,0.0004149891,0.0006519787,0.0003751753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003385877,"about_ca_system_score_gemma":0.0004069574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573653,"about_ca_topic_score_gemma":0.001701775,"domain_scores_codex":[0.999846,0.00003269954,0.000009297123,0.00004708151,0.0000530258,0.00001185009],"domain_scores_gemma":[0.9997798,0.00006593094,0.00004584397,0.00002052576,0.00008021419,0.000007710663],"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":[0.0003577069,0.0001074552,0.001721585,0.0006227423,0.0001015842,0.0003821487,0.0004812557,0.574806,0.1403663,0.03978303,0.00200766,0.2392625],"study_design_scores_gemma":[0.0000302058,0.0001444291,0.000284903,0.00001548207,0.000017363,0.00004468341,0.00001773053,0.9881753,0.006167963,0.001405679,0.003685394,0.0000109096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007508844,0.0001451093,0.9906927,0.00007311801,0.00004557643,0.00002362978,0.000009869989,0.0001161077,0.001385049],"genre_scores_gemma":[0.7970731,0.0006120175,0.1944821,0.0001085709,0.0000956712,0.0002552743,0.00007846773,0.00002831803,0.007266484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001573653,"threshold_uncertainty_score":0.003991663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351828918079631,"score_gpt":0.2527087494620486,"score_spread":0.1175258576540855,"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."}}