{"id":"W2052971992","doi":"10.1016/j.isatra.2007.02.001","title":"A continuous analysis of multi-input, multi-output predictive control","year":2007,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Model predictive control; MIMO; Control theory (sociology); Fractionating column; Range (aeronautics); Computer science; Matrix (chemical analysis); Process (computing); Process control; Control (management); Distillation; Mathematics; Engineering; Artificial intelligence","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":[0.001208696,0.000864775,0.0008223362,0.0007448103,0.0004035933,0.001620436,0.001261779,0.00107534,0.003707549],"category_scores_gemma":[0.003187023,0.0004577569,0.0007384848,0.0005918798,0.001166856,0.001922069,0.001180478,0.00192678,0.0002323569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051797,"about_ca_system_score_gemma":0.0005910745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258239,"about_ca_topic_score_gemma":0.001202376,"domain_scores_codex":[0.9995332,0.00013327,0.00001724514,0.00006583163,0.0002058503,0.00004461321],"domain_scores_gemma":[0.9991041,0.0005220539,0.00007988235,0.00006990518,0.0001863696,0.00003763945],"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":[0.00007452759,0.00005187866,0.0002722967,0.0001937933,0.00005044333,0.000148747,0.00008453213,0.782345,0.0037437,0.1833104,0.001563754,0.02816094],"study_design_scores_gemma":[0.000001343385,0.000007592021,0.00005203869,0.000003531793,0.000002132774,0.000004187055,0.000002680732,0.9910108,0.0001151304,0.008586343,0.0002118432,0.000002332179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01471874,0.001810002,0.9718451,0.0005551759,0.0002471435,0.00002977632,0.00005215024,0.00008561448,0.01065639],"genre_scores_gemma":[0.9555038,0.0009741277,0.03731222,0.000132558,0.0003116499,0.00006904719,0.00005750925,0.00007713208,0.005561998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003707549,"threshold_uncertainty_score":0.01240301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009010220450905077,"score_gpt":0.2318587291318066,"score_spread":0.2228485086809015,"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."}}