{"id":"W4413370532","doi":"10.18280/mmep.120705","title":"Distributed Formation Control of Double-Integrator Systems via Adaptive CBFs with Dynamic Safety Margins","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Center for Research and Development in Mathematics and Applications","keywords":"Integrator; Computer science; Double integrator; Control theory (sociology); Control (management); Artificial intelligence; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006288793,0.0007412205,0.0005795977,0.0003312533,0.0003658944,0.0007090232,0.0009592825,0.0004756407,0.001034012],"category_scores_gemma":[0.001256149,0.0002929413,0.0003721794,0.0002309824,0.0009198026,0.0006600372,0.00164592,0.0008067937,0.0001646236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000527797,"about_ca_system_score_gemma":0.0009482522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003403094,"about_ca_topic_score_gemma":0.001955279,"domain_scores_codex":[0.9997028,0.00005271379,0.00001324021,0.00007506931,0.0001012686,0.00005492282],"domain_scores_gemma":[0.999471,0.0001728285,0.0001395661,0.00004517462,0.0001136301,0.00005778054],"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":[0.00007841199,0.00002447679,0.0003288805,0.00004968361,0.00001648771,0.00008902571,0.0001451005,0.9505197,0.008300551,0.02154851,0.0003025663,0.01859651],"study_design_scores_gemma":[0.000009627027,0.00003964037,0.00004105896,0.00000262883,0.000002348378,0.000007227121,0.000007527856,0.9965866,0.0005200913,0.002471379,0.0003093011,0.000002656099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02603853,0.00007075071,0.9719676,0.00007687714,0.00002757968,0.00002041226,0.00001550473,0.0001336513,0.001649107],"genre_scores_gemma":[0.9622719,0.0000650756,0.03613777,0.00003291722,0.00001757362,0.00007451228,0.0000270541,0.00002402698,0.001349213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003403094,"threshold_uncertainty_score":0.006766558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006450306662825566,"score_gpt":0.1713370007452398,"score_spread":0.1648866940824143,"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."}}