{"id":"W4224134962","doi":"10.1002/rnc.6119","title":"Stochastic fixed‐time formation for nonlinear multi‐agent systems under a discontinuous protocol","year":2022,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Settling time; Nonlinear system; Protocol (science); Control theory (sociology); Computer science; Upper and lower bounds; Simple (philosophy); Tracking (education); Multi-agent system; Stability (learning theory); Control (management); Mathematics; Mathematical optimization; Control engineering; Engineering; Mathematical analysis","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":[0.001071316,0.0002121479,0.0004150187,0.0002870664,0.0002082718,0.0004179577,0.001108975,0.00005291921,0.00001686719],"category_scores_gemma":[0.000158072,0.0001838366,0.0002263659,0.0001227933,0.00003116697,0.0007699157,0.0001925583,0.0002617125,0.000008531379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593022,"about_ca_system_score_gemma":0.0001763434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001359213,"about_ca_topic_score_gemma":0.000003253463,"domain_scores_codex":[0.9974386,0.0001951772,0.0009661068,0.0002522559,0.0008671787,0.0002807004],"domain_scores_gemma":[0.9974955,0.000270955,0.001010055,0.000206257,0.0008696395,0.0001475584],"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":[0.002156851,0.001406025,0.0002305966,0.0001119019,0.001255673,0.0001835151,0.0006731334,0.9709615,0.004500885,0.002832778,0.003357355,0.01232978],"study_design_scores_gemma":[0.01082281,0.00040311,0.00008506326,0.00007000884,0.00004171395,0.0005528689,0.0001650235,0.9707583,0.00002514068,0.00004025938,0.01684714,0.0001885846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001754038,0.0001147072,0.9818133,0.001702943,0.001533811,0.01256361,0.0004620459,0.00004107764,0.00001443548],"genre_scores_gemma":[0.9179357,0.000004158796,0.05463682,0.0008166479,0.002715226,0.02264214,0.0001479791,0.00007295828,0.001028424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9271765,"threshold_uncertainty_score":0.7496639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260018150231901,"score_gpt":0.274660298795582,"score_spread":0.252060117293263,"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."}}