{"id":"W1988999630","doi":"10.1115/1.2194070","title":"The Extended Variable Structure Filter","year":2005,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Filter (signal processing); Variable (mathematics); Nonlinear system; Computer science; Extension (predicate logic); State variable; Feature (linguistics); State (computer science); Control theory (sociology); Algorithm; Mathematics; Artificial intelligence; 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":[0.0009931419,0.0005821905,0.000868779,0.0007157336,0.0003778428,0.001059312,0.0009564038,0.001433201,0.004671561],"category_scores_gemma":[0.002924458,0.0003238003,0.0006508894,0.0008126589,0.0006198088,0.002000614,0.0007084673,0.001295788,0.001675343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512282,"about_ca_system_score_gemma":0.0008051398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205555,"about_ca_topic_score_gemma":0.001705122,"domain_scores_codex":[0.9991441,0.0001867558,0.00003743811,0.0002102952,0.0003676339,0.00005374927],"domain_scores_gemma":[0.999196,0.0003454047,0.00006557268,0.0001158885,0.0002523364,0.00002481097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002319122,0.00004565272,0.0009789838,0.0003556297,0.0001291187,0.0002266417,0.0001889165,0.09927941,0.02120323,0.2145079,0.008799624,0.654053],"study_design_scores_gemma":[0.00006328771,0.0002465112,0.000869028,0.0001096687,0.00006523947,0.0006216221,0.00004057755,0.8353271,0.011777,0.06066341,0.09012489,0.00009158466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007206644,0.0003885167,0.9972737,0.00006190594,0.0001077942,0.0000103925,0.00002696404,0.0001625128,0.001247541],"genre_scores_gemma":[0.1603158,0.003297474,0.8119531,0.0005080858,0.0008090562,0.0001997214,0.0004301277,0.0001616841,0.02232487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004671561,"threshold_uncertainty_score":0.01562798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007080144405786444,"score_gpt":0.1856277942488224,"score_spread":0.1785476498430359,"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."}}