{"id":"W1581056533","doi":"10.1002/acs.2580","title":"Almost invariant manifold approach for adaptive estimation of periodic and aperiodic unknown time‐varying parameters","year":2015,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Aperiodic graph; Manifold (fluid mechanics); Mathematics; Estimation theory; Nonlinear system; Invariant (physics); Applied mathematics; Dynamical systems theory; Upper and lower bounds; LTI system theory; Exponential function; Convergence (economics); Control theory (sociology); Mathematical optimization; Computer science; Algorithm; Mathematical analysis; Linear system; Artificial intelligence","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":[0.0003922695,0.00038318,0.0005207143,0.0005636837,0.0002359909,0.0002960217,0.0004069131,0.0004093701,0.0009735322],"category_scores_gemma":[0.001190879,0.0001806984,0.0004033256,0.0003036414,0.00040636,0.0005382803,0.0004758457,0.0005133873,0.000191525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385142,"about_ca_system_score_gemma":0.0003075424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555641,"about_ca_topic_score_gemma":0.0009947015,"domain_scores_codex":[0.9998197,0.00005028707,0.00001057012,0.00004672275,0.00006003997,0.00001269563],"domain_scores_gemma":[0.9997049,0.0001216236,0.00005391254,0.00004364979,0.00006710945,0.000008851061],"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":[0.00007807339,0.00003128195,0.001005396,0.0001227894,0.00008132242,0.0001635269,0.0002152473,0.7457316,0.03408357,0.03639811,0.0007036516,0.1813854],"study_design_scores_gemma":[0.000001612156,0.00002171116,0.000248749,0.000003026148,0.00000321798,0.00002369385,0.000007435117,0.9942312,0.001325872,0.003526027,0.0006009081,0.00000662337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01517303,0.0001333733,0.9838937,0.00002642508,0.00001053814,0.00000934152,0.000009098082,0.0001252999,0.0006192135],"genre_scores_gemma":[0.8030521,0.0002855646,0.1946426,0.00002974669,0.00003471802,0.00007088044,0.00006138662,0.00005054122,0.001772391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001555641,"threshold_uncertainty_score":0.003256738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056706302682997,"score_gpt":0.2693712959169129,"score_spread":0.238804232890083,"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."}}