{"id":"W2612409511","doi":"10.1049/iet-cta.2016.1248","title":"Memory scheduling robust filter‐based fault detection for discrete‐time polytopic uncertain systems over fading channels","year":2017,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Fading; Computer science; Control theory (sociology); Scheduling (production processes); Fault detection and isolation; Discrete time and continuous time; Filter (signal processing); Filtering theory; Real-time computing; Algorithm; Channel (broadcasting); Mathematics; Computer network; Mathematical optimization; Artificial intelligence; Actuator; Control (management); Computer vision","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":[0.0004767721,0.0008102726,0.0006816916,0.0003223246,0.0003333353,0.0006256435,0.000689195,0.0007081676,0.001043308],"category_scores_gemma":[0.001439767,0.0001873482,0.0005259847,0.0003084057,0.0005532338,0.0005786303,0.0003904088,0.000644554,0.0001484852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006353435,"about_ca_system_score_gemma":0.0007670171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784734,"about_ca_topic_score_gemma":0.003106346,"domain_scores_codex":[0.999665,0.00005044442,0.00002430228,0.00009990234,0.0001133175,0.00004696232],"domain_scores_gemma":[0.9995561,0.0002059372,0.000102761,0.00003631507,0.00008696102,0.00001196568],"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":[0.0001557371,0.00003210435,0.0005191584,0.0001381278,0.00004368657,0.0000873921,0.00008777055,0.8916866,0.01425684,0.007426721,0.000458562,0.08510735],"study_design_scores_gemma":[0.00000877272,0.00006539416,0.0001644779,0.00000515259,0.000008205142,0.00001841251,0.000005489074,0.9955193,0.003145121,0.0006636904,0.0003900565,0.000005938925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01292226,0.0001877249,0.9858484,0.00003881577,0.00002679025,0.00001795666,0.00001668665,0.0001513848,0.0007899345],"genre_scores_gemma":[0.9275563,0.0003096475,0.07020642,0.0000476149,0.00003425444,0.00009946623,0.00007747154,0.00002101156,0.001647693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004784734,"threshold_uncertainty_score":0.009513795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161584496296285,"score_gpt":0.2426723439249575,"score_spread":0.2310564989619946,"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."}}