{"id":"W2328868439","doi":"10.1021/ie302215c","title":"Simultaneous Design and Control under Uncertainty Using Model Predictive Control","year":2013,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Model predictive control; Mathematical optimization; Control theory (sociology); Stability (learning theory); Flexibility (engineering); Computer science; Nonlinear system; Process (computing); Process design; Continuous stirred-tank reactor; Dynamic programming; Mathematics; Work in process; Control (management); 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":[0.001192481,0.001171542,0.001071973,0.000499616,0.0005513873,0.001129923,0.001140267,0.0007961608,0.001023981],"category_scores_gemma":[0.001504895,0.0006359515,0.001077972,0.0004726767,0.0008751,0.001008613,0.001317937,0.001424459,0.0001918843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701111,"about_ca_system_score_gemma":0.00146693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248828,"about_ca_topic_score_gemma":0.002252262,"domain_scores_codex":[0.9989153,0.0001901307,0.00004492461,0.000213293,0.0005372707,0.00009906407],"domain_scores_gemma":[0.9994274,0.0002858421,0.0001164243,0.00005985328,0.00008865689,0.00002186416],"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":[0.00004342277,0.00003066672,0.0001129163,0.00007255749,0.00003232462,0.00004540095,0.00005531946,0.9487528,0.004850676,0.009039271,0.0001560254,0.03680865],"study_design_scores_gemma":[0.000008361048,0.00006201017,0.00003963734,0.000005714701,0.000008993275,0.000009415679,0.000004300313,0.9946986,0.001534787,0.00292509,0.0006970116,0.000006002988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004447815,0.0001001363,0.9941615,0.00003554416,0.00001575445,0.00002146092,0.000008439796,0.0001324234,0.001076984],"genre_scores_gemma":[0.7633501,0.0004261548,0.2329041,0.00006949731,0.00007335466,0.000357678,0.00007587123,0.00006090915,0.002682377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00248828,"threshold_uncertainty_score":0.006306529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406202085537774,"score_gpt":0.284689615820541,"score_spread":0.2306275949651632,"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."}}