{"id":"W2020238599","doi":"10.2316/journal.201.2006.1.201-1417","title":"LEARNING-ENHANCED GENERALIZED PREDICTIVE CONTROL FOR SYSTEMS WITH PERIODIC DISTURBANCES","year":2006,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Model predictive control; Control theory (sociology); Control (management); Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002353982,0.0004253923,0.000847909,0.0001173908,0.000227297,0.0002532752,0.0001430425,0.0001579048,0.000002864568],"category_scores_gemma":[0.00003893923,0.0003355994,0.0000997579,0.0001325246,0.00008647982,0.0002645757,0.000006705136,0.0001639252,0.000008618942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001570213,"about_ca_system_score_gemma":0.00002279091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001808826,"about_ca_topic_score_gemma":0.00002133903,"domain_scores_codex":[0.9979487,0.0001274564,0.0007160185,0.0004333121,0.0002650617,0.0005094379],"domain_scores_gemma":[0.9988952,0.0002240541,0.000238789,0.0002327555,0.0002859059,0.0001233185],"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":[0.0003891284,0.00001839488,0.0008644519,0.0003467756,0.0002552662,0.000002323415,0.0001306702,0.9922705,0.003297825,0.001725576,0.0002780095,0.0004211069],"study_design_scores_gemma":[0.004945255,0.0004766704,0.0002266154,0.0002399166,0.0001490551,0.00002030344,0.0004287577,0.981,0.0001924842,0.00003311673,0.01185113,0.0004366873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01159179,0.02139001,0.9609019,0.0000223321,0.001159394,0.003224368,0.0001082981,0.000574222,0.001027643],"genre_scores_gemma":[0.9949866,0.000151443,0.0001074477,0.00001329109,0.0008253041,0.002290784,0.0000583123,0.0000913358,0.001475511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9833948,"threshold_uncertainty_score":0.9999096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003942849580122808,"score_gpt":0.1849842983890119,"score_spread":0.1810414488088891,"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."}}