{"id":"W2981386262","doi":"10.1109/scones.2004.1564782","title":"Performance of Variable Step-Size LMS Algorithms for Linear Adaptive Inverse Control Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Variable (mathematics); Adaptive control; Inverse; Computer science; Algorithm; Control theory (sociology); Control (management); Mathematics; 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":[0.0001494744,0.0001869915,0.0003113823,0.000058008,0.0000348572,0.000008426307,0.0001487974,0.00009256801,0.00001799395],"category_scores_gemma":[0.00002186712,0.0001778025,0.00005400933,0.0001243122,0.00004296255,0.0002053819,0.00002073034,0.00009437476,0.000006507827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008759824,"about_ca_system_score_gemma":0.00001478803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424528,"about_ca_topic_score_gemma":0.000004887665,"domain_scores_codex":[0.9990954,0.0000115321,0.0003263143,0.0001664361,0.0001235443,0.0002768025],"domain_scores_gemma":[0.9993642,0.0001610944,0.00006478401,0.0002276261,0.0001434855,0.00003882708],"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":[0.0001123264,0.00004798883,0.0002680383,0.0004215422,0.00009480263,0.000001833278,0.00002552326,0.933534,0.04828163,0.01243703,0.004016809,0.0007585366],"study_design_scores_gemma":[0.00071131,0.0002117478,0.0001100029,0.00008626985,0.00001861517,0.000003206201,0.00003152475,0.9746169,0.01828186,0.000140846,0.005576124,0.0002115665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01651592,0.00008494896,0.976034,0.000002826143,0.000242093,0.0007015909,0.0001215796,0.0007912336,0.005505775],"genre_scores_gemma":[0.614357,0.00001052646,0.3843145,0.000008625809,0.00013795,0.0001569035,0.000006449885,0.00004340385,0.0009646449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.597841,"threshold_uncertainty_score":0.7250577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333592318291775,"score_gpt":0.2175337204823503,"score_spread":0.2041977972994325,"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."}}