{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005822351,0.0006720108,0.0006401886,0.0002674568,0.0002850132,0.0006919697,0.0008694594,0.0005768017,0.001130503],"category_scores_gemma":[0.001354651,0.0002607427,0.0004294641,0.0002922765,0.0006281697,0.0004635435,0.0005104124,0.000751078,0.0001597938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007185387,"about_ca_system_score_gemma":0.0006919238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009563798,"about_ca_topic_score_gemma":0.003567308,"domain_scores_codex":[0.9996598,0.00007147148,0.0000135297,0.00007114017,0.0001422027,0.00004191118],"domain_scores_gemma":[0.9994779,0.0002852879,0.00009688563,0.00004457918,0.0000829393,0.00001239181],"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":[0.00003665086,0.00000792202,0.00008041661,0.00002197743,0.000007599136,0.00003194502,0.00001640733,0.9871681,0.002422691,0.002621444,0.0001266304,0.007458256],"study_design_scores_gemma":[0.000003080164,0.00001346966,0.00003844293,0.0000012365,0.000001479206,0.000002251022,0.000001385013,0.9980015,0.0007393589,0.001095403,0.0001008294,0.000001612099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04592548,0.0003283491,0.9494916,0.0001599608,0.00003559676,0.00003181672,0.00006686006,0.0005303156,0.003430033],"genre_scores_gemma":[0.9763189,0.00009784458,0.02202134,0.000017432,0.00001635206,0.00004420711,0.00005235315,0.00001829569,0.001413424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009563798,"threshold_uncertainty_score":0.01901627,"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."}}