{"id":"W2622595700","doi":"10.1016/j.isatra.2017.04.024","title":"Experimental evaluation of control performance of MPC as a regulatory controller","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PID controller; Control theory (sociology); Robustness (evolution); Model predictive control; Controller (irrigation); Robust control; Control system; Process control; Temperature control; Computer science; Control engineering; Engineering; Process (computing); Control (management); Chemistry; Artificial intelligence","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":[0.0007510902,0.0005459306,0.0003202513,0.0004133632,0.0005052839,0.0005772785,0.0008170031,0.0008853902,0.004657002],"category_scores_gemma":[0.002865093,0.0002254019,0.0002434289,0.0002885193,0.0006878269,0.0005897886,0.0004316175,0.0006428776,0.0005307189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344843,"about_ca_system_score_gemma":0.0003193433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458471,"about_ca_topic_score_gemma":0.0008066584,"domain_scores_codex":[0.9994498,0.0001047402,0.00003816649,0.0001007042,0.0001792664,0.0001273752],"domain_scores_gemma":[0.9976877,0.001009743,0.0002649906,0.0004526446,0.0005103838,0.00007456708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009530785,0.003985878,0.00219054,0.001058561,0.00008068956,0.0002960553,0.0002222651,0.06601249,0.8686234,0.002820105,0.001052856,0.04412649],"study_design_scores_gemma":[0.0005057722,0.01071611,0.006583376,0.00004407559,0.00008731389,0.0001458339,0.000113859,0.1972404,0.7822186,0.0005610219,0.001732549,0.00005108755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740297,0.0002932218,0.01820177,0.0001221983,0.0001252149,0.00008795496,0.0003226181,0.0005290257,0.006288318],"genre_scores_gemma":[0.9970149,0.00004330944,0.001926353,0.00001007168,0.000007183826,0.00002878624,0.00007896006,0.00001912865,0.0008714589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004657002,"threshold_uncertainty_score":0.01557922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474565183542452,"score_gpt":0.2623056729316007,"score_spread":0.2475600210961761,"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."}}