{"id":"W4232176237","doi":"10.1016/b978-008046620-0/50003-7","title":"SISO EXTENDED PREDICTIVE CONTROL – FORMULATION AND ROBUST ANALYSIS","year":2007,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Control theory (sociology); Computer science; Control (management); Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001969755,0.0004402246,0.0007767934,0.0005233158,0.00007518016,0.00004212459,0.0001006997,0.0004305126,0.00003967371],"category_scores_gemma":[0.00001507969,0.0004614122,0.0002230777,0.00004512966,0.00004018852,0.0001193671,0.00002175288,0.0003082289,0.00001313119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067184,"about_ca_system_score_gemma":0.00001492771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.827286e-7,"about_ca_topic_score_gemma":0.0000482247,"domain_scores_codex":[0.9984817,0.00001459829,0.0005669585,0.0003748013,0.0002821728,0.0002797749],"domain_scores_gemma":[0.9990525,0.00009475418,0.00020537,0.0003788416,0.0001452591,0.000123336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003427852,0.00000195138,0.00001446331,0.0000776299,0.001792867,0.00001178914,0.0001188939,0.4246559,0.00002038314,0.001662487,0.000005147918,0.5716043],"study_design_scores_gemma":[0.00212969,0.0001002869,0.0004221146,0.0003059849,0.004727234,0.0000176912,0.00001862233,0.8865817,0.00001784233,0.004589646,0.0998758,0.001213447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009628379,0.00169873,0.2464309,0.000003393723,0.0001569524,0.0007683268,0.00006752417,0.0003046957,0.7505599],"genre_scores_gemma":[0.2063813,0.0002092632,0.004176117,0.00007683993,0.0005869944,0.0001167535,0.0002040745,0.0002901057,0.7879585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5703908,"threshold_uncertainty_score":0.9997838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009490112539220013,"score_gpt":0.211375245512481,"score_spread":0.201885132973261,"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."}}