{"id":"W2124351368","doi":"10.1002/oca.973","title":"Decentralized receding horizon control with communication bandwidth allocation for multiple vehicle systems","year":2010,"lang":"en","type":"article","venue":"Optimal Control Applications and Methods","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Bandwidth (computing); Dynamic bandwidth allocation; Computer science; Bandwidth allocation; Control theory (sociology); Channel allocation schemes; Trajectory; Horizon; Communications system; Telecommunications network; Control (management); Computer network; Telecommunications; Artificial intelligence; Mathematics; Wireless","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008739561,0.000239185,0.0003985702,0.00009198063,0.0003020611,0.0001338673,0.0001918476,0.0001645559,0.000003693521],"category_scores_gemma":[0.0001118023,0.0002210717,0.00005297994,0.0001976389,0.00006920789,0.0002959738,0.00001109311,0.000228618,0.000002019041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005428373,"about_ca_system_score_gemma":0.0000230764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002607588,"about_ca_topic_score_gemma":0.00003034422,"domain_scores_codex":[0.9987062,0.0001292656,0.0004232276,0.0003096496,0.0001126462,0.0003189906],"domain_scores_gemma":[0.9979683,0.0009081216,0.0001602416,0.000514417,0.0003021191,0.0001468297],"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":[0.0004171846,0.00005259222,0.0004412746,0.0001376727,0.0002051739,1.427885e-7,0.0001072561,0.5590174,0.3062668,0.01954632,0.00005392482,0.1137542],"study_design_scores_gemma":[0.005462721,0.00008773493,0.0002320512,0.00002372136,0.0001361348,0.000008642152,0.00008136549,0.9618331,0.001092606,0.0001356406,0.03063241,0.0002738861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003922819,0.001421176,0.9902613,0.0001421922,0.0001359921,0.003426695,0.00005507869,0.0003464828,0.0002882553],"genre_scores_gemma":[0.6026236,0.0001105826,0.3929476,0.00001658752,0.00008118111,0.004102778,0.00004823552,0.00004593682,0.00002358524],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5987008,"threshold_uncertainty_score":0.9015042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007644264463199425,"score_gpt":0.2778824421330541,"score_spread":0.2702381776698547,"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."}}