{"id":"W2154804814","doi":"10.1002/aic.11458","title":"Enhanced stability regions for model predictive control of nonlinear process systems","year":2008,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Control theory (sociology); Model predictive control; Nonlinear system; Robustness (evolution); Lyapunov function; Parametric statistics; Mathematics; Mathematical optimization; Computer science; Control (management); Artificial intelligence; Physics","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":[0.00032649,0.0001310418,0.0003585291,0.00006093752,0.0001082423,0.00001027833,0.0001305524,0.00009467353,0.000001669226],"category_scores_gemma":[0.0001691157,0.0001199304,0.0001052,0.0001033492,0.00004454676,0.0003053834,0.000004275517,0.0002034075,7.870909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038474,"about_ca_system_score_gemma":0.0001036185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001332948,"about_ca_topic_score_gemma":0.000001343843,"domain_scores_codex":[0.998835,0.00004445099,0.0005982846,0.0001189601,0.0001905179,0.0002127293],"domain_scores_gemma":[0.9987839,0.0001080432,0.0002305013,0.0001682027,0.0006108026,0.00009858328],"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":[0.00009380848,0.00002982327,0.0001599307,0.00009786121,0.0001019509,8.629912e-7,0.0004721028,0.9942573,0.004557089,0.0001122619,0.00006492825,0.00005209224],"study_design_scores_gemma":[0.001823914,0.00009382626,0.00005201869,0.00006071769,0.00004195488,0.00005025441,0.0002003852,0.9948176,0.002346116,0.0003828288,0.00002385649,0.000106573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04282438,0.0005572796,0.9551638,0.00001771354,0.0003239225,0.000640741,0.00006341756,0.00008916133,0.0003195649],"genre_scores_gemma":[0.9940189,0.0001111782,0.005413874,0.000007525414,0.0002878033,0.00008328595,0.000003736226,0.00003423372,0.00003948286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9511945,"threshold_uncertainty_score":0.4890621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016512164744807,"score_gpt":0.2376590127806985,"score_spread":0.2211468480358915,"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."}}