{"id":"W2016480652","doi":"10.3182/20070606-3-mx-2915.00056","title":"SIMULTANEOUS PROCESS AND CONTROL DESIGN OF DYNAMIC SYSTEMS UNDER UNCERTAINTY","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Process (computing); Process systems; Process control; Stability (learning theory); Control (management); Computer science; Control engineering; Design process; Process design; Robust control; Mathematical optimization; Engineering; Control system; Control theory (sociology); Work in process; Mathematics; Process engineering; 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":[0.002270476,0.001639532,0.002263393,0.0006006781,0.0007641584,0.002064032,0.001140165,0.001761063,0.002431099],"category_scores_gemma":[0.004909395,0.00143517,0.001189558,0.0008910733,0.001724944,0.001845052,0.002943976,0.001525433,0.0003173079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322298,"about_ca_system_score_gemma":0.001907238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003995981,"about_ca_topic_score_gemma":0.00292815,"domain_scores_codex":[0.9983687,0.0004616297,0.00007010078,0.0003490274,0.0005437141,0.0002069313],"domain_scores_gemma":[0.9984011,0.001030672,0.0001850718,0.00009749948,0.0002265349,0.0000592173],"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":[0.0001783624,0.00003680902,0.0001066436,0.0001456397,0.0000683754,0.00006964603,0.0001109514,0.9472873,0.00361579,0.02500774,0.0003260867,0.02304661],"study_design_scores_gemma":[0.00002417241,0.0000938759,0.00007175297,0.000005503655,0.00001647786,0.00001024908,0.00000955089,0.9896209,0.0008560718,0.008828536,0.0004542922,0.000008618247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01109642,0.0002759671,0.9859225,0.0001703537,0.0000596104,0.00003467021,0.00002738612,0.00007539608,0.002337715],"genre_scores_gemma":[0.8900568,0.0006364325,0.1027969,0.0001157775,0.0001922715,0.0003817277,0.0001221187,0.00007246551,0.005625503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003995981,"threshold_uncertainty_score":0.01200753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004611079192574124,"score_gpt":0.2182919898958205,"score_spread":0.2136809107032464,"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."}}