{"id":"W2013382991","doi":"10.1016/j.jprocont.2006.04.003","title":"Price-driven coordination method for solving plant-wide MPC problems","year":2006,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Suncor Energy (Canada); University of Alberta","funders":"","keywords":"Model predictive control; Mathematical optimization; Computer science; Scale (ratio); Reliability (semiconductor); Sensitivity (control systems); Set (abstract data type); Quadratic programming; Diagonal; Quadratic equation; Control theory (sociology); Control (management); Mathematics; Engineering","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":[0.00115257,0.000722408,0.001223553,0.0003933397,0.0004354388,0.0007520682,0.001026669,0.001095322,0.003453212],"category_scores_gemma":[0.002193068,0.0005165908,0.0004170799,0.0004638247,0.0005460388,0.0006634754,0.001010166,0.001100969,0.0003224021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004543363,"about_ca_system_score_gemma":0.0009364318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003224791,"about_ca_topic_score_gemma":0.002741433,"domain_scores_codex":[0.9997002,0.0001239205,0.00001415275,0.00004173045,0.00008302685,0.00003693441],"domain_scores_gemma":[0.9992883,0.0004300326,0.00005438245,0.00003934636,0.0001452766,0.00004258447],"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":[0.00005476161,0.00002626639,0.0001019278,0.00004028106,0.0000208664,0.00003195472,0.00001653119,0.9764959,0.0006049514,0.007503665,0.000722802,0.01438006],"study_design_scores_gemma":[0.000009844793,0.00001280696,0.00001414556,0.000001052773,0.000001620679,0.000002796774,0.000001405146,0.9987662,0.00006319,0.001022393,0.0001032123,0.000001374853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01328762,0.0001587526,0.9809182,0.0001697016,0.00007902655,0.00004490366,0.0000323193,0.0001602002,0.005149413],"genre_scores_gemma":[0.8475973,0.0001631843,0.147358,0.0001241223,0.00007927607,0.0002346747,0.00007975616,0.0001119667,0.004251663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003453212,"threshold_uncertainty_score":0.01155221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005359113873211972,"score_gpt":0.2317373790613842,"score_spread":0.2263782651881723,"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."}}