{"id":"W2088372827","doi":"10.1016/j.jprocont.2010.11.006","title":"Model predictive control with robust feasibility","year":2011,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Model predictive control; Control (management); Computer science; Control theory (sociology); 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":[0.003050982,0.001928517,0.002303157,0.0009355748,0.0009486927,0.002324315,0.001811035,0.001956609,0.005998891],"category_scores_gemma":[0.01300521,0.001445977,0.001621892,0.001059556,0.001851335,0.002978282,0.003445061,0.003593263,0.001029845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698757,"about_ca_system_score_gemma":0.001605475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462855,"about_ca_topic_score_gemma":0.001123516,"domain_scores_codex":[0.9986737,0.0005578013,0.00006009779,0.0002468207,0.0003616609,0.00009997159],"domain_scores_gemma":[0.9966299,0.002186425,0.000254466,0.0003635051,0.0005165895,0.00004910622],"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":[0.0004727291,0.0001167153,0.0002139319,0.0005346618,0.0001424285,0.0001717384,0.0001016224,0.6796827,0.002561943,0.2460386,0.003814755,0.06614814],"study_design_scores_gemma":[0.00003032221,0.000057537,0.0000445621,0.00001685197,0.00001490961,0.00001862268,0.000005042643,0.9473864,0.0006429083,0.05091785,0.0008529762,0.00001210501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004794255,0.0004457067,0.984189,0.0004637722,0.0001501161,0.00005664823,0.00006025366,0.0002165919,0.009623587],"genre_scores_gemma":[0.8184803,0.0006558481,0.1687953,0.0002867289,0.0003469373,0.0005519557,0.0003174529,0.0002662549,0.01029925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005998891,"threshold_uncertainty_score":0.02006823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153614471033085,"score_gpt":0.2155997090563029,"score_spread":0.194063564345972,"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."}}