{"id":"W4230262441","doi":"10.1016/s0019-0578(07)60219-5","title":"SISO extended predictive control: Implementation and robust stability analysis","year":2006,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Control theory (sociology); Model predictive control; Stability (learning theory); Matrix (chemical analysis); Computer science; Constant (computer programming); Robust control; Control system; Control (management); Engineering; Artificial intelligence; Machine learning","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":[0.00007801008,0.0001148783,0.0001855499,0.0001252298,0.0001006191,0.00002825855,0.00003209418,0.00004978061,0.000147316],"category_scores_gemma":[0.000002165607,0.0001263066,0.00007744983,0.0003745469,0.00002636719,0.0002904179,7.355644e-7,0.00007572343,0.000001992764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045467,"about_ca_system_score_gemma":0.000007506636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002205039,"about_ca_topic_score_gemma":0.002005404,"domain_scores_codex":[0.9992722,0.00003601717,0.0002572154,0.0001722776,0.0001050684,0.0001571665],"domain_scores_gemma":[0.9996706,0.00005775131,0.00003280494,0.0001398565,0.00005774906,0.00004120043],"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":[0.00001129973,0.00001833985,0.001453077,0.0000106176,0.0002819121,3.412759e-7,0.0000953165,0.9949259,0.00148187,0.00006237246,0.000009707732,0.001649217],"study_design_scores_gemma":[0.001214655,0.00002566658,0.05299783,0.000002729098,0.0008677429,0.000001803187,0.0004437219,0.9431428,0.0008266891,0.0002271971,0.00008821594,0.0001609624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01690328,0.0001546571,0.9814383,0.00004247586,0.000089439,0.0003260648,0.0001881653,0.0003129948,0.0005446532],"genre_scores_gemma":[0.9967999,0.00001657506,0.00294169,0.000005838163,0.00003886942,0.0001087371,0.00004956767,0.0000168519,0.00002191983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9798967,"threshold_uncertainty_score":0.5150635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005375570382278666,"score_gpt":0.2078761264256305,"score_spread":0.2025005560433518,"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."}}