{"id":"W4411171829","doi":"10.1109/tsmc.2025.3571020","title":"Event-Triggered Fault-Tolerant Consensus Control of Multiagent Systems With Hybrid Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Computer science; Multi-agent system; Consensus; Fault tolerance; Distributed computing; Event (particle physics); Artificial intelligence","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":[0.0008935201,0.0006390403,0.0005668108,0.0002583653,0.000312823,0.0007217519,0.0008345314,0.0006151807,0.0005759933],"category_scores_gemma":[0.001999335,0.0001448954,0.0003802655,0.0002712219,0.0008005839,0.0007229852,0.0008694321,0.0006972526,0.00006790765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952892,"about_ca_system_score_gemma":0.0004432508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770191,"about_ca_topic_score_gemma":0.0007863352,"domain_scores_codex":[0.9993281,0.0001901114,0.00004096746,0.0001844404,0.0001726658,0.00008369963],"domain_scores_gemma":[0.9990585,0.0004068755,0.0002216702,0.00007976461,0.0001856846,0.00004750945],"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":[0.0001341778,0.00002982594,0.0006170624,0.00009277335,0.00005426243,0.0001781886,0.0001419939,0.9464223,0.007874992,0.02459534,0.0002349915,0.01962402],"study_design_scores_gemma":[0.000005504294,0.00004978872,0.00008352249,0.00000197907,0.000005130282,0.00001199179,0.000008917139,0.9966293,0.0007132933,0.00233653,0.000150929,0.000003011385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04223055,0.0001361684,0.9555991,0.00009308932,0.0000421789,0.00003171696,0.00001368807,0.000126533,0.001727035],"genre_scores_gemma":[0.9890819,0.00005669438,0.01019101,0.00002300547,0.00001258999,0.000032827,0.00001161862,0.000005142798,0.0005851761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001770191,"threshold_uncertainty_score":0.004725456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00876596362924627,"score_gpt":0.2270510912453331,"score_spread":0.2182851276160868,"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."}}