{"id":"W2886230998","doi":"10.1016/j.compchemeng.2018.08.002","title":"Approximation techniques for dynamic real-time optimization (DRTO) of distributed MPC systems","year":2018,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Model predictive control; Nonlinear system; Clipping (morphology); Horizon; Computer science; Mathematical optimization; Mathematics; 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":[0.001033947,0.000834506,0.0007961254,0.0004154405,0.000345022,0.0006729885,0.000891621,0.0006308198,0.001844072],"category_scores_gemma":[0.003438481,0.0003547162,0.0006289833,0.000558308,0.0005065683,0.0008123151,0.0009281854,0.00176866,0.0003978756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006288967,"about_ca_system_score_gemma":0.0006696787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004944006,"about_ca_topic_score_gemma":0.004146862,"domain_scores_codex":[0.9995766,0.0001548596,0.00001721367,0.00004980892,0.0001564857,0.0000450982],"domain_scores_gemma":[0.9992383,0.0004642842,0.00006968824,0.00007926598,0.0001225965,0.00002596793],"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":[0.00004687459,0.00002226134,0.0001292901,0.00006476088,0.00001973953,0.00002144026,0.00003686644,0.9327571,0.001067149,0.02261606,0.0006469777,0.04257159],"study_design_scores_gemma":[0.000001760986,0.00000570343,0.0000152101,0.000002878373,0.000001925937,0.000002988297,0.000001510204,0.9968703,0.0001134787,0.002688926,0.0002942616,0.000001086482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002974244,0.0003941972,0.9943427,0.00006712631,0.0000441989,0.00001287511,0.00001185681,0.00009777342,0.002055101],"genre_scores_gemma":[0.7025617,0.001378446,0.2875375,0.0001681133,0.0001521714,0.0001897557,0.0001296316,0.0002618163,0.007620745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004944006,"threshold_uncertainty_score":0.009830415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003215330406399506,"score_gpt":0.1924695603378535,"score_spread":0.1892542299314539,"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."}}