{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312807,0.000188603,0.0003994206,0.0000721538,0.0001120166,0.000142358,0.0002120713,0.00008005901,0.000007365458],"category_scores_gemma":[0.00008055102,0.0001154702,0.00008907619,0.0000642076,0.00002794781,0.0001895733,0.000008388138,0.0002433062,0.000004166021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479959,"about_ca_system_score_gemma":0.00005179884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000395597,"about_ca_topic_score_gemma":0.00002548074,"domain_scores_codex":[0.9981858,0.0001180821,0.0006954583,0.0000917549,0.0006481289,0.0002607768],"domain_scores_gemma":[0.9988886,0.0001008957,0.0002710967,0.00017879,0.0004523015,0.0001082818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009675556,0.0001891979,0.003217679,0.0007266892,0.008744759,0.0000930622,0.0009671634,0.1882274,0.5866597,0.00446216,0.01776243,0.1879822],"study_design_scores_gemma":[0.006414491,0.0002071755,0.004563,0.0004212292,0.000301778,0.0005255553,0.0004693602,0.8515439,0.00007137471,0.0001385852,0.1349573,0.0003862594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1165121,0.2654743,0.5942664,0.002678741,0.01411023,0.002621519,0.0001040498,0.0002874204,0.003945224],"genre_scores_gemma":[0.9984661,0.00009017049,0.000243949,0.00003266854,0.0009418278,0.000006885517,3.176247e-7,0.00002724321,0.0001908813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.881954,"threshold_uncertainty_score":0.4708737,"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."}}