{"id":"W4416066082","doi":"10.1002/aic.70141","title":"Neural network‐based offset‐free model predictive control for nonlinear systems","year":2025,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Nonlinear autoregressive exogenous model; Control theory (sociology); Nonlinear system; Model predictive control; Benchmark (surveying); Autoregressive model; Observer (physics); Nonlinear model","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004754536,0.0001831374,0.0003512564,0.0001021947,0.0001577224,0.00008631833,0.0002486698,0.0001326818,0.000001747082],"category_scores_gemma":[0.0001323985,0.0001719105,0.0001442877,0.0001568836,0.00001857789,0.0002413396,0.00001353483,0.0003296046,0.000001659419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679844,"about_ca_system_score_gemma":0.00008883455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001807684,"about_ca_topic_score_gemma":0.00000397758,"domain_scores_codex":[0.99871,0.00006821335,0.0005614158,0.0001406539,0.0001612269,0.0003584844],"domain_scores_gemma":[0.9990737,0.0001565231,0.0001393598,0.0002553138,0.0002741207,0.0001009857],"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":[0.0001159498,0.00001153695,0.000296845,0.0000496083,0.0001301024,0.000002086585,0.00001168174,0.9849137,0.0001243759,0.0002632643,0.01331016,0.0007707108],"study_design_scores_gemma":[0.004079903,0.00005901202,0.00006537433,0.0001129355,0.0001120134,0.0000125458,0.00002080341,0.9928708,0.00001189546,0.0005240608,0.001994006,0.0001366708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007252909,0.002163806,0.9931319,0.0001781684,0.002112241,0.0006785271,0.00008503495,0.0002020672,0.0007229925],"genre_scores_gemma":[0.9771701,0.00003834134,0.02053298,0.0002533088,0.001474881,0.0001201917,0.00001731956,0.00005590647,0.0003369484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9764448,"threshold_uncertainty_score":0.7010306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00705674877612535,"score_gpt":0.2227000191943531,"score_spread":0.2156432704182278,"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."}}