{"id":"W2169036463","doi":"10.1016/s0967-0661(03)00115-1","title":"Performance evaluation of two industrial MPC controllers","year":2003,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Model predictive control; Control theory (sociology); Feed forward; Controller (irrigation); PID controller; Multivariate statistics; Splitter; Control engineering; Multivariable calculus; Process (computing); Process control; Engineering; Computer science; Control (management); Mathematics; Temperature control; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001552276,0.0007817764,0.0005578641,0.0006908574,0.0005958945,0.0008310066,0.0006307948,0.001097308,0.002055713],"category_scores_gemma":[0.005432948,0.0002001031,0.0002466638,0.0004374407,0.0004706988,0.000387154,0.0004963393,0.0006486016,0.0002766913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007972756,"about_ca_system_score_gemma":0.0006728365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00853793,"about_ca_topic_score_gemma":0.00346028,"domain_scores_codex":[0.9991937,0.0002052135,0.00005085648,0.00008910621,0.000292287,0.0001688045],"domain_scores_gemma":[0.9959336,0.002274987,0.0002290742,0.0003565937,0.00108864,0.0001172066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00393427,0.0005256166,0.003351151,0.0004885521,0.00011015,0.0001269615,0.0001585005,0.8419939,0.01702185,0.00260121,0.001122122,0.1285656],"study_design_scores_gemma":[0.0001561171,0.001177762,0.003188098,0.00001030851,0.00004595989,0.00003254739,0.00003845868,0.9776234,0.01706123,0.0002634739,0.0003841867,0.00001842837],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954254,0.00123505,0.08066642,0.0003161407,0.0001172467,0.0001271503,0.0001411516,0.001622783,0.02034861],"genre_scores_gemma":[0.9952343,0.0000566389,0.00400258,0.00001362973,0.00000695302,0.0000160007,0.00006176891,0.00001429454,0.0005937832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00853793,"threshold_uncertainty_score":0.01697642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340767316008238,"score_gpt":0.2550504746935737,"score_spread":0.2316428015334913,"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."}}