{"id":"W3080775155","doi":"10.1177/1077546320948347","title":"Finite-time consensus of heterogeneous unknown nonlinear multi-agent systems with external disturbances via event-triggered control","year":2020,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Multi-agent system; Lyapunov function; Consensus; Computer science; Lyapunov stability; Artificial neural network; Position (finance); Mathematics; Topology (electrical circuits); 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":[0.0005681203,0.0004953742,0.0003967909,0.0001655986,0.0003039206,0.0005560056,0.000806919,0.0004728617,0.0004007043],"category_scores_gemma":[0.00115559,0.0001353603,0.0003017362,0.0001780734,0.0006503239,0.0005909579,0.000717882,0.0004790672,0.0000477817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869199,"about_ca_system_score_gemma":0.0003410339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695894,"about_ca_topic_score_gemma":0.001019393,"domain_scores_codex":[0.9996181,0.000094138,0.00002234647,0.0001072992,0.0001183729,0.0000397315],"domain_scores_gemma":[0.9995294,0.000195207,0.0001109398,0.00004765884,0.00008572041,0.00003123612],"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":[0.000108982,0.00004100347,0.0005730252,0.0000640853,0.00002963832,0.0003206086,0.0001382223,0.9478603,0.01706872,0.01257743,0.0002427357,0.02097522],"study_design_scores_gemma":[0.000004884379,0.00002937054,0.00009260383,0.000001088079,0.000002643341,0.00001109629,0.000008512337,0.9975225,0.0008728602,0.001336291,0.0001155629,0.000002464154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07354862,0.0001121386,0.9240322,0.00009696987,0.00003200534,0.00003046454,0.00001190386,0.0001298894,0.002005868],"genre_scores_gemma":[0.9915357,0.00004225664,0.007921848,0.00001527031,0.000007205457,0.00002187791,0.00001162131,0.000003986779,0.0004401226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001695894,"threshold_uncertainty_score":0.003372014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212907220285754,"score_gpt":0.2201370214227586,"score_spread":0.2080079492199011,"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."}}