{"id":"W2137524933","doi":"10.1109/cca.2005.1507307","title":"Fault detection observer design with unknown inputs","year":2005,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fault detection and isolation; Robustness (evolution); Linearization; Observer (physics); Computer science; Control theory (sociology); Convergence (economics); Linear matrix inequality; Mathematical optimization; Algorithm; Mathematics; Artificial intelligence; Control (management); Nonlinear system","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":[0.0008873562,0.0008687605,0.001075873,0.000368279,0.0002903047,0.0009908264,0.001149114,0.001183692,0.001682135],"category_scores_gemma":[0.002535105,0.0003060741,0.0004767453,0.0002733696,0.0006408732,0.0009631329,0.0006446559,0.001003472,0.0005025963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006898537,"about_ca_system_score_gemma":0.0009827029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926276,"about_ca_topic_score_gemma":0.001410111,"domain_scores_codex":[0.9992618,0.000116192,0.00005112186,0.0001928197,0.0002922264,0.0000859221],"domain_scores_gemma":[0.9990651,0.0003042044,0.0002005513,0.00008084418,0.0003221827,0.00002711944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005065578,0.0001304762,0.001324426,0.0008576158,0.0001271972,0.0003347373,0.0003398252,0.7210506,0.04496634,0.03099385,0.002025609,0.1973426],"study_design_scores_gemma":[0.00005125333,0.0002004744,0.0002741456,0.00002365264,0.00002931977,0.00004666601,0.00001465854,0.9837793,0.01020362,0.002663193,0.002699877,0.00001389429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003994054,0.0001531944,0.9943379,0.00005559858,0.00004889913,0.00003076409,0.00001385224,0.0002485134,0.001117225],"genre_scores_gemma":[0.8492028,0.0006562217,0.1419481,0.0001520847,0.0001224198,0.0003581424,0.000201364,0.00005278041,0.007306123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001926276,"threshold_uncertainty_score":0.005627275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073152107506002,"score_gpt":0.188131214617242,"score_spread":0.177399693542182,"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."}}