{"id":"W1972827511","doi":"10.1016/j.automatica.2009.04.020","title":"Fault Detection and Isolation of discrete-time Markovian jump linear systems with application to a network of multi-agent systems having imperfect communication channels","year":2009,"lang":"en","type":"article","venue":"Automatica","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Unobservable; Imperfect; Fault detection and isolation; Discrete time and continuous time; Subspace topology; Computer science; Network packet; Control theory (sociology); Jump; Fault (geology); Noise (video); Mathematics; Artificial intelligence; Computer network","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":[0.0003913727,0.0001754501,0.0003834757,0.0001091694,0.00008666643,0.00004503839,0.0001160569,0.0001096253,0.00000161993],"category_scores_gemma":[0.00002558732,0.0001574251,0.00004154508,0.0003449311,0.00002125784,0.0001382536,0.00001491005,0.00009537205,0.0000107659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008647379,"about_ca_system_score_gemma":0.000008892834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001966342,"about_ca_topic_score_gemma":0.00002703257,"domain_scores_codex":[0.9987586,0.0001234343,0.000562411,0.0001704672,0.000197173,0.0001879853],"domain_scores_gemma":[0.9991081,0.00007657737,0.0002065111,0.0004142096,0.0001110456,0.00008358569],"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":[0.00005691059,0.00003846479,0.0001909644,0.0005307961,0.00009803175,3.212983e-7,0.0008788464,0.8396691,0.1493995,0.00009343862,0.00004258356,0.009001058],"study_design_scores_gemma":[0.0004398981,0.0002286418,0.002469643,0.0004382416,0.0000464179,0.00001482027,0.0001887443,0.9947851,0.001025013,0.000005375772,0.0001975144,0.0001605873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3941289,0.0009835573,0.6016933,0.000053338,0.0002369801,0.002089554,0.0000143091,0.0005009496,0.0002991582],"genre_scores_gemma":[0.998305,0.00001834329,0.001348091,0.00000644072,0.00006959403,0.0001652645,0.00001278453,0.00002726792,0.00004716351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6041762,"threshold_uncertainty_score":0.641961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004824574526625434,"score_gpt":0.214522452921569,"score_spread":0.2096978783949435,"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."}}