{"id":"W2100068231","doi":"10.1177/1077546309106525","title":"Fuzzy Nonlinear Unknown Input Observer Design with Fault Diagnosis Applications","year":2010,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Control theory (sociology); Fault detection and isolation; Observer (physics); Nonlinear system; Fuzzy logic; Fault (geology); Linear matrix inequality; Mathematics; Mathematical optimization; Actuator; Computer science; 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":[0.0001977469,0.0001048782,0.000193252,0.00008538166,0.0000685807,0.00009215516,0.00007485456,0.00007835646,0.00002596417],"category_scores_gemma":[0.0000218168,0.00007791004,0.00004996132,0.0001103169,0.00002224992,0.0002531683,0.000002614605,0.0002524243,0.000008976158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275678,"about_ca_system_score_gemma":0.00002917367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003070278,"about_ca_topic_score_gemma":0.00004333416,"domain_scores_codex":[0.9993309,0.00003366971,0.0003099095,0.00007034749,0.0001531815,0.0001019842],"domain_scores_gemma":[0.9994362,0.00009099247,0.0001207715,0.00009900478,0.0001409631,0.0001120919],"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":[0.0009539775,0.0004574544,0.01223675,0.0002014373,0.001194237,0.00004623073,0.0008784935,0.1338859,0.5944188,0.004733652,0.003983355,0.2470096],"study_design_scores_gemma":[0.01553673,0.001219145,0.01477756,0.000125318,0.0003909556,0.0006247192,0.0002866603,0.6616576,0.02290554,0.0006103147,0.2810261,0.0008392927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1708378,0.0006816724,0.8245542,0.001281014,0.0006697408,0.0007175462,0.000010255,0.0001325176,0.001115198],"genre_scores_gemma":[0.9967175,0.00006604104,0.002453121,0.0002037734,0.0004242332,0.00007707076,8.840714e-7,0.00001593359,0.00004141823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8258797,"threshold_uncertainty_score":0.3177079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007408931005767825,"score_gpt":0.2061961165336074,"score_spread":0.1987871855278396,"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."}}