{"id":"W2164698012","doi":"10.1002/asjc.1249","title":"Adaptive Fuzzy Descriptor Sliding Mode Observer‐based Sensor Fault Estimation for Uncertain Nonlinear Systems","year":2015,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Nonlinear system; Lipschitz continuity; Observer (physics); Fuzzy logic; Bounded function; Convergence (economics); Mathematics; Fault (geology); Mode (computer interface); Computer science; 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":[0.000647416,0.0002101595,0.0005132797,0.0001805535,0.0000623515,0.0001112352,0.0001638341,0.0001230315,0.000002066256],"category_scores_gemma":[0.0002523461,0.0001857507,0.000216888,0.000128811,0.00001323983,0.000316629,0.000002871566,0.000209545,0.0000126473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870881,"about_ca_system_score_gemma":0.0001271727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981608,"about_ca_topic_score_gemma":0.000009982893,"domain_scores_codex":[0.9984081,0.0001279948,0.0007087585,0.0001152171,0.0003532789,0.000286594],"domain_scores_gemma":[0.9986473,0.0001138659,0.0003015195,0.0001493637,0.0005062265,0.0002817119],"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":[0.0004947404,0.00002231966,0.00005435377,0.00006851403,0.0002146599,0.00002169064,0.0003112742,0.9903343,0.003769733,0.0001783071,0.00107352,0.003456607],"study_design_scores_gemma":[0.006531549,0.0004159964,0.00001870635,0.0001724162,0.0001017989,0.00008630998,0.001402239,0.9873322,0.0004056819,0.00006930589,0.003274477,0.0001893319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02383101,0.000933052,0.9697589,0.0004610833,0.003219009,0.0008170845,0.00007700975,0.0001483507,0.0007544626],"genre_scores_gemma":[0.9935474,0.000001256471,0.005504242,0.00005531189,0.0007315133,0.00004252229,0.000003809381,0.00004657076,0.0000673617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9697164,"threshold_uncertainty_score":0.7574694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366678754733807,"score_gpt":0.2571090297828134,"score_spread":0.2234422422354753,"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."}}