{"id":"W2127648118","doi":"10.1109/cca.2000.897540","title":"Singular pencil model-based predictive control strategy","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Innovation Council; National Research Council Canada","funders":"","keywords":"Kalman filter; Control theory (sociology); Model predictive control; Computer science; Estimator; Pencil (optics); State (computer science); Adaptive control; Controller (irrigation); Control engineering; Control (management); Artificial intelligence; Algorithm; Engineering; Mathematics","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":[0.0003759085,0.0008072508,0.001140193,0.0005231672,0.0004510771,0.0009579093,0.001190524,0.0006727785,0.002410543],"category_scores_gemma":[0.0006127882,0.0002801763,0.0004737195,0.0004978782,0.0006755746,0.0008019471,0.0007114618,0.0007722357,0.0008304233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004967817,"about_ca_system_score_gemma":0.0006780011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178089,"about_ca_topic_score_gemma":0.001929373,"domain_scores_codex":[0.999639,0.00006071483,0.00001642639,0.00009073285,0.0001580194,0.00003505162],"domain_scores_gemma":[0.9998003,0.00004057127,0.00003433635,0.00003804488,0.00006644028,0.00002039424],"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":[0.000188924,0.00007680814,0.0003000022,0.0002293669,0.00007704981,0.0003271118,0.0001430494,0.7952492,0.0150244,0.03599505,0.003453192,0.1489359],"study_design_scores_gemma":[0.000008315605,0.00006069053,0.00003490352,0.000004286033,0.000007835021,0.00003118975,0.000004164173,0.9942778,0.001551538,0.003064916,0.0009468052,0.000007598563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005833455,0.0002754309,0.9883801,0.0000917811,0.00008638382,0.00002472192,0.00002519389,0.000711646,0.004571355],"genre_scores_gemma":[0.8855721,0.0004343601,0.1045999,0.0002202805,0.0001253919,0.0001172577,0.0001312911,0.00009635059,0.008702994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003178089,"threshold_uncertainty_score":0.008064032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077077435605504,"score_gpt":0.1849551237152528,"score_spread":0.1741843493591978,"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."}}