{"id":"W4317387792","doi":"10.18280/mmep.090616","title":"Distributed Model Reference Adaptive Control Based on Cooperative Observer with Optimal Control Modification for Synchronization of Heterogeneous Vehicle Platoon","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Platoon; Control theory (sociology); Observer (physics); Reference model; Synchronization (alternating current); Adaptive control; Computer science; Control engineering; State observer; Controller (irrigation); Tracking error; Vehicle dynamics; Control (management); Engineering; Nonlinear system","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":[0.0003980666,0.0004154017,0.0004157178,0.0002075607,0.0002776916,0.0004211337,0.0007411442,0.0003023481,0.0005419865],"category_scores_gemma":[0.0006665028,0.0001700873,0.0003538779,0.0002180877,0.0004109516,0.000493201,0.000602365,0.0005267443,0.00009428632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229998,"about_ca_system_score_gemma":0.0004742671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004049854,"about_ca_topic_score_gemma":0.003432674,"domain_scores_codex":[0.9997073,0.00004525473,0.00001664615,0.0001016784,0.00009297948,0.00003615848],"domain_scores_gemma":[0.9997355,0.00005551696,0.00006402555,0.00003805671,0.00009234734,0.00001456449],"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":[0.0002674723,0.0001231712,0.001770467,0.0001516283,0.00008164637,0.0002302047,0.0003180808,0.8079898,0.0500774,0.01664369,0.001630005,0.1207163],"study_design_scores_gemma":[0.00001640677,0.0000832189,0.0002148911,0.000002647585,0.000008575322,0.00001624804,0.0000105312,0.9963961,0.002085989,0.000643239,0.0005169086,0.000005145122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0286074,0.0001463098,0.9690018,0.00005296395,0.00006514087,0.00002239956,0.000007753983,0.0002509591,0.001845206],"genre_scores_gemma":[0.9821186,0.00008898054,0.01656804,0.0000281857,0.00002579647,0.00004741652,0.00002426804,0.000009815411,0.001088853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004049854,"threshold_uncertainty_score":0.008052588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480335813158632,"score_gpt":0.190874544356066,"score_spread":0.1660711862244796,"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."}}