{"id":"W2149492594","doi":"10.1002/rnc.1361","title":"Model predictive control for networked control systems","year":2008,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Control theory (sociology); Controller (irrigation); Networked control system; Computer science; Linear matrix inequality; Stability (learning theory); Control (management); Actuator; Control system; Linear system; Mathematical optimization; Mathematics; Engineering","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":[0.000353858,0.0002242329,0.0005469553,0.0001899175,0.00007946787,0.00005715107,0.0002665102,0.0001268108,0.000003228134],"category_scores_gemma":[0.0001196223,0.0001994844,0.0001799279,0.00005481599,0.00005547104,0.0004310905,0.00000781226,0.0002167798,0.000001663655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280975,"about_ca_system_score_gemma":0.00007415019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003525011,"about_ca_topic_score_gemma":0.000002432567,"domain_scores_codex":[0.9983714,0.00004993132,0.0007811108,0.0001472457,0.0003978173,0.0002524712],"domain_scores_gemma":[0.9979551,0.0003514157,0.0003656545,0.0001032462,0.001078363,0.0001462005],"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":[0.001140977,0.00003105188,0.0005666445,0.00001504569,0.0007914591,0.00002863966,0.00006078946,0.9954202,0.0006301149,0.0001361043,0.0005358114,0.0006431369],"study_design_scores_gemma":[0.01549481,0.0001631482,0.0001061553,0.00008133938,0.0001287768,0.0003148632,0.00002953691,0.9820545,0.00001106238,0.00006719848,0.001376514,0.0001721096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00688663,0.002487053,0.9874671,0.0002542603,0.001751572,0.0006109002,0.0002894464,0.0000702389,0.0001828011],"genre_scores_gemma":[0.9907396,0.0002855097,0.006466245,0.0001484806,0.002176174,0.0000501841,0.00001136751,0.00004900518,0.00007346773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9838529,"threshold_uncertainty_score":0.8134737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371216987640275,"score_gpt":0.2215424124019754,"score_spread":0.2078302425255727,"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."}}