{"id":"W4382936146","doi":"10.23919/acc55779.2023.10155952","title":"Distributed Robust Control Framework for Adaptive Cruise Control Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Adaptive control; Control theory (sociology); Robust control; Parametric statistics; Computer science; Cruise control; Controller (irrigation); Convergence (economics); Integrator; Control engineering; Control system; Noise (video); Control (management); Engineering; Artificial intelligence; Mathematics","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":[0.0008665369,0.001381397,0.0009658391,0.0006255526,0.0004126219,0.001592776,0.002243662,0.001284653,0.004064662],"category_scores_gemma":[0.001208053,0.0002643308,0.0006788604,0.0005621942,0.0009334374,0.001022032,0.001579454,0.001959451,0.0009378251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008784228,"about_ca_system_score_gemma":0.001074807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873987,"about_ca_topic_score_gemma":0.00253223,"domain_scores_codex":[0.999116,0.0002050393,0.00004624896,0.000189008,0.0003725547,0.00007123097],"domain_scores_gemma":[0.9996082,0.0001127447,0.0000451604,0.00004266316,0.000169858,0.00002148742],"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":[0.00004819618,0.00005640849,0.0001168997,0.0002902582,0.00006279304,0.0003594192,0.0001397545,0.6476186,0.007603733,0.2827627,0.003295995,0.05764529],"study_design_scores_gemma":[0.0000204602,0.00007478003,0.00005440435,0.00001965169,0.00001150476,0.00005055172,0.00001564188,0.9649738,0.0006981585,0.02724375,0.006824675,0.00001273021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005777282,0.0004131518,0.9952213,0.0001042292,0.0000654831,0.00002975235,0.00002157606,0.0001667852,0.003399912],"genre_scores_gemma":[0.6718138,0.002653882,0.3055484,0.0003572339,0.0007828308,0.0009201412,0.0004002092,0.0001672311,0.01735622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004064662,"threshold_uncertainty_score":0.01359761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701341573121504,"score_gpt":0.209465835353911,"score_spread":0.1924524196226959,"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."}}