{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000707646,0.0006949897,0.0009185278,0.0003773336,0.0003533795,0.001160717,0.0008071882,0.0008732379,0.002400647],"category_scores_gemma":[0.001850586,0.0002353754,0.0003622779,0.0006829997,0.0006924674,0.0006113438,0.0008357363,0.001242131,0.0003312237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818062,"about_ca_system_score_gemma":0.0008040963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007205854,"about_ca_topic_score_gemma":0.003413256,"domain_scores_codex":[0.9995388,0.0001131402,0.00001904457,0.00008639485,0.0002070452,0.00003558279],"domain_scores_gemma":[0.9995164,0.0002582243,0.00006875165,0.00003476172,0.0001101781,0.00001166659],"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":[0.00002640318,0.00002155701,0.0001162257,0.0001467359,0.00002989137,0.0000914178,0.00004454596,0.9257494,0.001154559,0.03210691,0.001769457,0.0387429],"study_design_scores_gemma":[0.00000613429,0.00001459673,0.00004875387,0.00001081738,0.000004146149,0.000008759787,0.000004859314,0.9880643,0.0002022338,0.01042262,0.001209532,0.000003181001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008618779,0.00354441,0.9752806,0.0006400552,0.0002421825,0.0000523624,0.000089293,0.0003946335,0.01113773],"genre_scores_gemma":[0.9526315,0.003016527,0.03504073,0.000191219,0.0003304201,0.0002806355,0.0002227419,0.0000452589,0.008241003],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007205854,"threshold_uncertainty_score":0.01432782,"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."}}