{"id":"W2966800298","doi":"10.1109/isie.2019.8781116","title":"Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Model predictive control; Mathematical optimization; Estimator; Control theory (sociology); Multiplicative function; Parametric statistics; Computer science; Homothetic transformation; Adaptive estimator; Sequence (biology); Linear system; Mathematics; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121543,0.0002000217,0.0003397907,0.0001535031,0.00004367968,0.00003083093,0.00008724124,0.00007510209,0.000003829858],"category_scores_gemma":[0.00002944773,0.0001632413,0.00004950637,0.000224353,0.00003743494,0.000109697,0.000005698385,0.00007844558,0.00001351574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592409,"about_ca_system_score_gemma":0.00006402759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007744458,"about_ca_topic_score_gemma":0.000001724424,"domain_scores_codex":[0.998969,0.00002115523,0.0002952526,0.0002303314,0.0002341951,0.0002501311],"domain_scores_gemma":[0.9989118,0.0003972285,0.00008337296,0.000143324,0.0004008952,0.00006335387],"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":[0.0002081118,0.00001486954,0.00005704549,0.00006741147,0.0001732305,3.777214e-7,0.00008574581,0.9880971,0.0000851333,0.01113171,0.00002879959,0.00005041575],"study_design_scores_gemma":[0.003286926,0.0002581777,0.0000310189,0.00005303128,0.00003931924,0.000004083543,0.0004318643,0.9955684,0.00001761588,0.00008678096,0.00001548474,0.0002073026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006367794,0.000156678,0.9876189,0.00001312139,0.0001887644,0.002609229,0.0001462326,0.0004223286,0.002476957],"genre_scores_gemma":[0.9637299,0.000001436586,0.03551554,0.00002062993,0.00004855307,0.000316278,0.00003425949,0.00004426853,0.0002890868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9573622,"threshold_uncertainty_score":0.6656786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007254064900713345,"score_gpt":0.1978761475561131,"score_spread":0.1906220826553997,"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."}}