{"id":"W2113556348","doi":"10.1109/acc.2006.1657485","title":"Offline robust model predictive control with rewinding prediction","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Robustness (evolution); Control theory (sociology); Quadratic programming; Weighting; Robust control; Mathematical optimization; Sequential quadratic programming; Parametric statistics; Computer science; Exponential stability; Optimal control; MIMO; Mathematics; Control system; Engineering; Control (management); Artificial intelligence; Nonlinear system","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":[0.0004046153,0.0008578092,0.000891537,0.000265044,0.0002648987,0.0007107144,0.001167957,0.000636915,0.003523492],"category_scores_gemma":[0.0009701797,0.0003556098,0.0005308479,0.0002255202,0.0004224314,0.0009033108,0.0009124381,0.001219888,0.0008398811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605263,"about_ca_system_score_gemma":0.0006177559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613806,"about_ca_topic_score_gemma":0.002246066,"domain_scores_codex":[0.9997087,0.00004765017,0.00001461778,0.00007151636,0.0001230584,0.0000343875],"domain_scores_gemma":[0.9996523,0.0001360833,0.0000447879,0.0001023014,0.00005291976,0.00001162941],"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":[0.00006657789,0.00003210715,0.0001574339,0.00007064352,0.00001869612,0.00008393863,0.0000404008,0.8882987,0.006195303,0.01304034,0.000882045,0.09111379],"study_design_scores_gemma":[0.000004497581,0.00001125843,0.00001691878,0.000002600549,0.00000194781,0.000007675922,0.000001539662,0.9962847,0.001572987,0.001478927,0.0006144368,0.000002420684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002629216,0.0000487278,0.99555,0.00002139759,0.00001672921,0.00001501445,0.00001442811,0.0006379371,0.001066474],"genre_scores_gemma":[0.4953018,0.0001553332,0.4995448,0.00007364396,0.00005360334,0.0001388631,0.000180042,0.0003065433,0.004245425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003523492,"threshold_uncertainty_score":0.0117873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004152473532132289,"score_gpt":0.1564181537002908,"score_spread":0.1522656801681585,"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."}}