{"id":"W2103171768","doi":"10.5539/cis.v7n3p58","title":"Design and Analysis of Bayesian Model Predictive Controller","year":2014,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Computer science; Model predictive control; Bayesian probability; Robustness (evolution); Nonlinear system; Control theory (sociology); Tracing; Controller (irrigation); Convergence (economics); Artificial intelligence; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279276,0.00004547104,0.00011642,0.0002811397,0.00004643122,0.00004729761,0.00005812583,0.00001563232,3.925647e-7],"category_scores_gemma":[0.0000140778,0.00003988146,0.000009967286,0.0004144514,0.00006679459,0.002224421,0.00001757897,0.00001968551,3.67672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001119281,"about_ca_system_score_gemma":0.000006779557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.785683e-7,"about_ca_topic_score_gemma":5.575978e-8,"domain_scores_codex":[0.999593,0.000007868985,0.0001669411,0.00005224655,0.0001105852,0.00006942551],"domain_scores_gemma":[0.9997197,0.00003664042,0.0000429186,0.00006358314,0.00009805502,0.00003906252],"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":[0.000002606483,6.563541e-7,0.00006255094,0.000005615841,0.00001457251,2.620271e-9,0.0004995127,0.9844598,0.00009639593,0.001380436,0.000005089391,0.01347277],"study_design_scores_gemma":[0.0002559955,0.00001846402,0.00191763,0.000004149407,0.00002247732,3.683024e-7,0.000007673946,0.9975436,0.00006527705,0.0001041615,0.00001922473,0.00004093029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002222592,0.00001321892,0.9968504,0.000005624759,0.00003050583,0.00009878047,0.00000174217,0.0000371203,0.0007400378],"genre_scores_gemma":[0.9309659,0.00001182984,0.06896669,0.00004287078,0.000005128879,0.000003953463,0.000001518786,0.000001185736,9.427604e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9287433,"threshold_uncertainty_score":0.1626319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005219833978622062,"score_gpt":0.1955122030680294,"score_spread":0.1902923690894073,"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."}}