{"id":"W4402141889","doi":"10.1002/asjc.3480","title":"Cooperative learning‐based practical formation‐containment control with prescribed performance for heterogeneous clusters of UAV/USV","year":2024,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control (management); Containment (computer programming); Computer science; Control theory (sociology); Aeronautics; Control engineering; Engineering; 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":[0.0006011045,0.00053398,0.0004614888,0.0002440214,0.0004368529,0.0005359085,0.0009384262,0.0004343476,0.0005682592],"category_scores_gemma":[0.0009353475,0.0001780257,0.0003393288,0.0002028386,0.0007669473,0.0004550002,0.001445193,0.0005713996,0.00009533315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007355721,"about_ca_system_score_gemma":0.0007668702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006861665,"about_ca_topic_score_gemma":0.002852587,"domain_scores_codex":[0.9996562,0.0000591148,0.00001601337,0.00009223625,0.0001111722,0.00006526621],"domain_scores_gemma":[0.9995698,0.0001070014,0.00009425436,0.00005857535,0.0001293146,0.00004107706],"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":[0.00003871308,0.00002007248,0.0003178888,0.00001639359,0.000009657922,0.00004355046,0.00005539304,0.9812396,0.003771538,0.003731804,0.0001798766,0.01057565],"study_design_scores_gemma":[0.000002897771,0.0000239169,0.0000562902,7.871758e-7,0.000001634938,0.000003123649,0.00000749581,0.9987736,0.0004690228,0.0005570244,0.0001026066,0.000001445145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08609086,0.00008393485,0.910479,0.0001032089,0.00002665484,0.00003127692,0.00001018506,0.0001386153,0.003036232],"genre_scores_gemma":[0.9873132,0.00002651646,0.01164681,0.00001778911,0.000007426956,0.00003432231,0.00001250606,0.000005910149,0.0009355798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006861665,"threshold_uncertainty_score":0.01364344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155775893471126,"score_gpt":0.2514449635735123,"score_spread":0.239887204638801,"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."}}