{"id":"W4408280754","doi":"10.1109/tits.2025.3541393","title":"Distributed Cooperative Control and Robust Optimization for Nonlinear Connected Automated Vehicles With Unknown Reaction Time Delays and Jerk Dynamics","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Jerk; Control theory (sociology); Nonlinear system; Vehicle dynamics; Computer science; Dynamics (music); Control (management); Control engineering; Engineering; Artificial intelligence; Physics; Acceleration; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001315138,0.0003175867,0.0004176744,0.000258596,0.0002372083,0.00009506878,0.00005784299,0.0002001526,0.000002833332],"category_scores_gemma":[0.000007301668,0.0003099093,0.00004884616,0.0004530005,0.00006253575,0.0003275233,1.562688e-7,0.0001588859,0.000002087285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228449,"about_ca_system_score_gemma":0.00003803514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004798645,"about_ca_topic_score_gemma":0.0002396423,"domain_scores_codex":[0.9985705,0.00006250796,0.000626017,0.0003596304,0.0001554413,0.0002258965],"domain_scores_gemma":[0.9989254,0.0002660813,0.0001178508,0.000159152,0.0004436555,0.0000878303],"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":[0.0003496955,0.00004822265,0.00002444722,0.0002375734,0.0003093134,0.000001438122,0.0001605948,0.9959048,0.001709221,0.0002979028,0.00002074745,0.0009360692],"study_design_scores_gemma":[0.002062968,0.0001675701,0.00008581445,0.0003088968,0.0002641905,0.000006852089,0.0003547103,0.9950084,0.001320641,0.000003767045,0.0001304689,0.000285698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01828147,0.0001758798,0.9765766,0.0000590893,0.0003825009,0.002000354,0.001436595,0.001058966,0.00002848968],"genre_scores_gemma":[0.9935376,0.0001483503,0.004585982,0.00001782573,0.00002156944,0.0005661765,0.0009468382,0.00006069277,0.0001149557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9752561,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005676010847060358,"score_gpt":0.2074048455043862,"score_spread":0.2017288346573258,"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."}}