{"id":"W2064533006","doi":"10.1080/00207179.2013.824182","title":"Model Predictive Control: Algorithmic Development and Applications","year":2013,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Control (management); Computer science; 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":[0.001023977,0.0007421676,0.0006214965,0.0006408363,0.0004144917,0.001689411,0.001251961,0.001299557,0.003386415],"category_scores_gemma":[0.0053583,0.0005104851,0.00053969,0.001265188,0.001206181,0.001983758,0.001784185,0.002545508,0.001220888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006343932,"about_ca_system_score_gemma":0.0009296325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001585648,"about_ca_topic_score_gemma":0.0009452507,"domain_scores_codex":[0.999428,0.0001772352,0.00003224822,0.0000994571,0.0002361515,0.00002689505],"domain_scores_gemma":[0.9986328,0.0008798622,0.00006138928,0.000165378,0.0002344716,0.00002599768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003533234,0.00006260071,0.0007282958,0.0005390705,0.0000558402,0.000126136,0.0001420663,0.19878,0.0009017111,0.4981112,0.01124148,0.2892762],"study_design_scores_gemma":[0.00001450058,0.00003769199,0.0002416124,0.0001553445,0.00001635426,0.0001025927,0.00004035697,0.5002239,0.0006177808,0.4696347,0.02889791,0.0000172489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002357651,0.01909062,0.9611141,0.002222319,0.0002545444,0.00003523562,0.00006580056,0.000213599,0.01464617],"genre_scores_gemma":[0.4017143,0.06573778,0.5133309,0.0008700003,0.002522775,0.0004633556,0.0006118051,0.0002483427,0.01450072],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003386415,"threshold_uncertainty_score":0.01132864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00412289440411206,"score_gpt":0.2036159052727957,"score_spread":0.1994930108686836,"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."}}