{"id":"W2317745919","doi":"10.1080/00207721.2016.1160457","title":"<b>H∞</b>robust synchronisation of nonlinear multi-agent systems with sampled-data information","year":2016,"lang":"en","type":"article","venue":"International Journal of Systems Science","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Lipschitz continuity; Bounded function; Controller (irrigation); Multi-agent system; Stability (learning theory); Computer science; Observer (physics); Mathematics; Control (management); 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":[0.0006330307,0.0005538031,0.0005224185,0.0002307446,0.0002859195,0.000868582,0.0008114049,0.0005877264,0.0009278362],"category_scores_gemma":[0.001291383,0.0001730007,0.0004185614,0.0002596826,0.0006524887,0.0006315479,0.001020316,0.000798567,0.0002513296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496952,"about_ca_system_score_gemma":0.0005711733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604001,"about_ca_topic_score_gemma":0.001070327,"domain_scores_codex":[0.9996011,0.00009676551,0.00003071829,0.000112044,0.0001309153,0.00002848949],"domain_scores_gemma":[0.999527,0.0001460819,0.0001305477,0.0000677433,0.0001096828,0.00001886589],"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":[0.0001912712,0.00007694535,0.0005521891,0.0003494092,0.00007939315,0.0002729186,0.0002778284,0.8156198,0.03505952,0.03044538,0.001302756,0.1157725],"study_design_scores_gemma":[0.00001358718,0.00009188293,0.0001377414,0.000008368155,0.00000721709,0.00003003532,0.00001249941,0.9924027,0.003554433,0.002633451,0.001100324,0.0000077328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009347293,0.0001962492,0.9876646,0.00008377516,0.00004807175,0.00002924477,0.00001367081,0.0002310756,0.002386078],"genre_scores_gemma":[0.9391161,0.0002490082,0.05786945,0.00007111421,0.00005111283,0.0001354906,0.00005085198,0.00003461129,0.002422214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001604001,"threshold_uncertainty_score":0.003347814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05574252857956415,"score_gpt":0.279224114532428,"score_spread":0.2234815859528638,"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."}}