{"id":"W4383108849","doi":"10.1109/icra48891.2023.10160528","title":"Optimal Scheduling of Models and Horizons for Model Hierarchy Predictive Control","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Model predictive control; Leverage (statistics); Mathematical optimization; Computer science; Optimal control; Schedule; Time horizon; Scheduling (production processes); Control theory (sociology); Sequence (biology); Mathematics; Control (management); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005564139,0.0007005442,0.000581096,0.0003779509,0.00044502,0.0005374569,0.0006995958,0.0004907547,0.001960147],"category_scores_gemma":[0.002348583,0.0004277177,0.0004254776,0.0003739097,0.0006312085,0.0007610031,0.0006420886,0.001035319,0.0001884015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103996,"about_ca_system_score_gemma":0.00228499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161363,"about_ca_topic_score_gemma":0.01076565,"domain_scores_codex":[0.9997484,0.00007225075,0.000009490876,0.00004136491,0.00008189035,0.00004659834],"domain_scores_gemma":[0.9994673,0.0002928797,0.00007705935,0.00005102812,0.00007581778,0.00003594052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002363622,0.00001681921,0.0001323161,0.00002032556,0.000004506567,0.0000104932,0.00001759076,0.9872755,0.0005776944,0.003506976,0.0002475802,0.008166443],"study_design_scores_gemma":[0.00000354322,0.00001192194,0.00003562033,0.000002708473,0.000001851457,0.000001893067,0.000004085852,0.9975994,0.0001983414,0.002006326,0.0001326743,0.000001617295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04532713,0.0002518811,0.9497755,0.000173497,0.00002719829,0.00006228778,0.00008637251,0.0003642658,0.003931946],"genre_scores_gemma":[0.9000447,0.0001340621,0.09842502,0.0000425138,0.00001536346,0.0001156776,0.0001401652,0.00007601509,0.00100648],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01161363,"threshold_uncertainty_score":0.02309209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843114186865629,"score_gpt":0.2300729785506346,"score_spread":0.2116418366819783,"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."}}