{"id":"W2489104943","doi":"10.1109/acc.2016.7526055","title":"Leader-following consensus control of multi-agent systems with communication delays & random packet loss","year":2016,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Control theory (sociology); Bernoulli distribution; Multi-agent system; Packet loss; Algebraic graph theory; Computer science; Network packet; Consensus; Bernoulli's principle; Lyapunov stability; Controller (irrigation); Lyapunov function; Integrator; Double integrator; Mathematics; Control (management); Random variable; Bandwidth (computing); Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001286931,0.0003213877,0.0007361593,0.0001348685,0.0001572652,0.0001565699,0.001395716,0.0001294344,0.0000119259],"category_scores_gemma":[0.0002093216,0.0001942307,0.0002069693,0.0003011506,0.0001770865,0.0003445463,0.0001458426,0.0001176859,0.0001714605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420192,"about_ca_system_score_gemma":0.0001248729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004607086,"about_ca_topic_score_gemma":0.0001700562,"domain_scores_codex":[0.9967341,0.000726858,0.0008709314,0.0005283465,0.0006193794,0.0005203882],"domain_scores_gemma":[0.9957205,0.001183991,0.0005347917,0.001981461,0.0003797483,0.000199512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005210199,0.005528674,0.2658087,0.001625611,0.01277371,0.000812384,0.01086818,0.02639931,0.3518709,0.2458343,0.02421139,0.04905665],"study_design_scores_gemma":[0.2493638,0.0008998741,0.009760913,0.004259383,0.0006905174,0.0006977516,0.002024972,0.6727373,0.008392147,0.0002806322,0.04691648,0.003976228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03336051,0.000931785,0.96155,0.001631015,0.0004319846,0.001209381,0.00007141415,0.0003028169,0.0005110744],"genre_scores_gemma":[0.9902987,0.00001590531,0.00809519,0.00008831413,0.00002872246,0.0001273097,0.000009635607,0.00002449205,0.001311747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9569381,"threshold_uncertainty_score":0.7920496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060879671194703,"score_gpt":0.2522007221273301,"score_spread":0.2215919254153831,"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."}}