{"id":"W84389294","doi":"","title":"Choosing grid points in solving singular optimal control problems by iterative dynamic programming","year":2007,"lang":"en","type":"article","venue":"International Conference on Intelligent Systems and Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optimal control; Interval (graph theory); Dynamic programming; Mathematical optimization; Grid; Control theory (sociology); Convergence (economics); Parametrization (atmospheric modeling); Mathematics; Optimization problem; Computer science; Control (management)","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":[0.002811325,0.0009351403,0.001330766,0.0007326133,0.0005765834,0.0007517794,0.0009101272,0.0010652,0.001257562],"category_scores_gemma":[0.007712021,0.0007456484,0.0006236094,0.0007541911,0.001474566,0.0009556664,0.001143172,0.001357071,0.0003240936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006570012,"about_ca_system_score_gemma":0.001036576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005998101,"about_ca_topic_score_gemma":0.004141812,"domain_scores_codex":[0.9990354,0.0006382287,0.00004247572,0.00007422627,0.0001443302,0.00006536524],"domain_scores_gemma":[0.9974911,0.001951257,0.0001312436,0.0001281615,0.0002432375,0.00005495005],"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":[0.00005749365,0.00002214423,0.0002819708,0.00003615089,0.0000149449,0.00003436828,0.00005137519,0.9787028,0.000642423,0.008111679,0.0001801862,0.01186432],"study_design_scores_gemma":[0.00001086459,0.00001967431,0.00002129814,0.000004678664,0.000001564264,0.000002992212,0.000007745917,0.9955375,0.0002926477,0.003973328,0.0001246831,0.000003059092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01819982,0.0001160695,0.9802493,0.00009245978,0.00002140611,0.000053996,0.00001242023,0.0001440013,0.00111056],"genre_scores_gemma":[0.3837836,0.0002164719,0.6143551,0.00008023733,0.00002285613,0.0004023837,0.00007318112,0.0001313245,0.0009349119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005998101,"threshold_uncertainty_score":0.0148679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009849570926403322,"score_gpt":0.2480467088940386,"score_spread":0.2381971379676353,"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."}}