{"id":"W2099701253","doi":"10.1002/aic.12398","title":"Robust model predictive control and fault handling of batch processes","year":2010,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Reachability; Model predictive control; Control theory (sociology); Robust control; Controller (irrigation); Fault detection and isolation; Computer science; Nonlinear system; Actuator; Control engineering; Process (computing); Control (management); Mathematical optimization; Engineering; Control system; Algorithm; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000215206,0.00009161349,0.0001730948,0.00006209336,0.00006836782,0.00004499763,0.00007190543,0.00008562914,0.00001150793],"category_scores_gemma":[0.00009929919,0.00007611087,0.00003362618,0.00007389484,0.00002730536,0.0001605931,0.000005515443,0.0004092383,0.000001878969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117739,"about_ca_system_score_gemma":0.00003945787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005357283,"about_ca_topic_score_gemma":0.00003792354,"domain_scores_codex":[0.9994163,0.00001213186,0.0002281742,0.00006813542,0.0001379258,0.0001373586],"domain_scores_gemma":[0.9995791,0.00004850085,0.00006390535,0.00006789935,0.0001473041,0.00009327156],"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":[0.00007310624,0.00002216323,0.001646323,0.0001489403,0.0001682136,0.000004387209,0.0008640996,0.8029908,0.1904714,0.00003026006,0.0005585473,0.003021792],"study_design_scores_gemma":[0.001090849,0.00004309014,0.0003683607,0.00004055993,0.00003305413,0.000160074,0.0001977109,0.9940025,0.00348847,0.0001237371,0.0003668526,0.00008469553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7865433,0.0007963075,0.2100428,0.00008759256,0.0005740941,0.0001227645,0.00001108934,0.00008818656,0.001733858],"genre_scores_gemma":[0.9991196,0.00008199011,0.0004538116,0.00002166742,0.0002255332,0.000006551598,2.363813e-7,0.00001570789,0.00007486105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2125763,"threshold_uncertainty_score":0.3103712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008378842179651501,"score_gpt":0.2000178315445099,"score_spread":0.1916389893648583,"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."}}