{"id":"W4292825650","doi":"10.1109/taes.2022.3201065","title":"Robust Distributed Sensor Fault Detection and Diagnosis Within Formation Control of Multiagent Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Fault detection and isolation; Observer (physics); Fault (geology); Estimator; Fault indicator; Multi-agent system; Control theory (sociology); Computer science; Fault tolerance; Stuck-at fault; Engineering; Control engineering; Distributed computing; Real-time computing; Control (management); Artificial intelligence; Mathematics; Actuator","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008417094,0.0003211544,0.0005399354,0.0002327542,0.0006761184,0.0002472739,0.0003186587,0.0001181101,0.000003074773],"category_scores_gemma":[0.00001267813,0.0003202848,0.0001137777,0.0005681841,0.0000525065,0.0004235748,0.000008559564,0.0004406592,0.000004572147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564818,"about_ca_system_score_gemma":0.00008343157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008054135,"about_ca_topic_score_gemma":0.0001639445,"domain_scores_codex":[0.9970428,0.0005598478,0.0006487528,0.0005696348,0.0006074965,0.0005714228],"domain_scores_gemma":[0.9984362,0.0002433305,0.0005005184,0.0005091793,0.0001486571,0.0001621507],"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":[0.000175408,0.0003325268,0.0001470379,0.0003012548,0.0003321064,0.00000940144,0.001019752,0.9741248,0.0197533,0.001335444,0.0001353008,0.002333595],"study_design_scores_gemma":[0.002950833,0.0008454355,0.00005959927,0.00008370168,0.0001062904,0.000264253,0.001741034,0.9851912,0.006854231,0.000005030754,0.00154703,0.0003513195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08297515,0.001676077,0.9117525,0.0002434594,0.00134329,0.001485754,0.0003365428,0.0001776857,0.000009547345],"genre_scores_gemma":[0.9981838,0.0001472974,0.00004115107,0.00002619158,0.00003792365,0.001394712,0.00001155615,0.00002443371,0.0001329182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9152086,"threshold_uncertainty_score":0.9999249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401598508852274,"score_gpt":0.2037078117071886,"score_spread":0.1896918266186658,"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."}}