{"id":"W4407936979","doi":"10.1109/tase.2025.3545462","title":"Distributed Estimation and Motion Control in Multi-Agent Systems Under Multiple Attacks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Cave Science and Technology Research Fund; Basic and Applied Basic Research Foundation of Guangdong Province; Department of Education of Guangdong Province; National Natural Science Foundation of China","keywords":"Multi-agent system; Computer science; Motion control; Estimation; Control (management); Control system; Distributed computing; Control engineering; Control theory (sociology); Engineering; Robot; Artificial intelligence; Systems engineering","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":[0.0009160977,0.0009185847,0.0009873431,0.0004139403,0.0005969236,0.0009995106,0.0009311155,0.001165144,0.0006414677],"category_scores_gemma":[0.002547183,0.0003535461,0.0005788316,0.0004069403,0.001056059,0.001002904,0.001485431,0.001083098,0.0001203139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006653712,"about_ca_system_score_gemma":0.0007213297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323119,"about_ca_topic_score_gemma":0.002192131,"domain_scores_codex":[0.9993764,0.000157081,0.00004168158,0.0001864724,0.0001437617,0.00009460126],"domain_scores_gemma":[0.9987484,0.0005925799,0.0003131459,0.0001082018,0.0001749097,0.00006270185],"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":[0.00004216895,0.00001206213,0.0003758968,0.00004262287,0.0000248003,0.00008828911,0.00006268037,0.9766268,0.001672841,0.007331455,0.000161126,0.01355922],"study_design_scores_gemma":[0.000004521049,0.00002154138,0.00007256708,0.000002371691,0.000003939709,0.000008537368,0.000007515306,0.9982706,0.0002425176,0.001206167,0.0001572553,0.000002542799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02820142,0.0003670109,0.9694636,0.0001988705,0.00004086234,0.00003176535,0.00001295134,0.0001462706,0.00153721],"genre_scores_gemma":[0.9738461,0.000244019,0.02458386,0.00005268531,0.00003815134,0.00005994703,0.00001994443,0.00001080952,0.001144488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005323119,"threshold_uncertainty_score":0.01058424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572805692092668,"score_gpt":0.2505167710819153,"score_spread":0.2347887141609886,"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."}}