{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152719,0.0006712298,0.0009330231,0.0003940894,0.0004618306,0.0008825252,0.0009216294,0.0008092591,0.0004404922],"category_scores_gemma":[0.003413945,0.0002964369,0.0004098129,0.0003191218,0.001116702,0.0010415,0.001180807,0.0008559366,0.00007053271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008974365,"about_ca_system_score_gemma":0.0009417604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00350105,"about_ca_topic_score_gemma":0.001544907,"domain_scores_codex":[0.999079,0.000249195,0.00004680641,0.0002641017,0.0002727988,0.00008805328],"domain_scores_gemma":[0.9984943,0.0007412458,0.0003623817,0.0001223703,0.0002194023,0.00006046005],"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":[0.0001218348,0.00004081001,0.000737972,0.00009844,0.00004868716,0.0002154082,0.0001223688,0.9403,0.004088356,0.01435294,0.000344469,0.03952876],"study_design_scores_gemma":[0.00001250482,0.00004332042,0.0001070174,0.000002429913,0.000004894368,0.00001979448,0.00000907108,0.9962127,0.0006870878,0.002723681,0.0001737372,0.000003739231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02157449,0.0002865079,0.9771762,0.0001188498,0.00003650653,0.00003010245,0.00001038719,0.0001269689,0.0006400765],"genre_scores_gemma":[0.9715571,0.0001395831,0.02755441,0.00002750078,0.00002857459,0.0000415,0.00001664219,0.000008035933,0.00062656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00350105,"threshold_uncertainty_score":0.006961346,"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."}}