{"id":"W1565258975","doi":"10.1109/acc.2015.7170831","title":"Output feedback model predictive control of stochastic nonlinear systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Control theory (sociology); Probabilistic logic; Nonlinear system; Model predictive control; Computer science; Stability (learning theory); Controller (irrigation); Feedback control; Sense (electronics); Control (management); Feedback controller; Output feedback; Control engineering; Engineering; Artificial intelligence; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001257355,0.0001416494,0.0003075459,0.00006981942,0.00001180751,0.0000125498,0.0001040758,0.00008137225,0.000001503526],"category_scores_gemma":[0.00006742985,0.0001307196,0.0000368664,0.00009469865,0.00002065155,0.000184569,0.0000109932,0.0000749254,0.00002344089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090508,"about_ca_system_score_gemma":0.00003537058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001625511,"about_ca_topic_score_gemma":0.000002258917,"domain_scores_codex":[0.9991148,0.0000193227,0.0003392854,0.0001269164,0.0002174072,0.000182239],"domain_scores_gemma":[0.9993132,0.00004349859,0.00006404454,0.0002129567,0.0002476608,0.0001185809],"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":[0.00003325925,0.00001029303,0.00001339002,0.00003473961,0.00005446629,3.968699e-7,0.0001295288,0.9986315,0.0002471069,0.00056282,0.0002090837,0.00007342699],"study_design_scores_gemma":[0.00163371,0.00005041436,0.000003799121,0.00003458202,0.00002826503,0.00000304678,0.0001984285,0.9977841,0.00003380044,0.00008506748,0.00002571126,0.0001191249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008902494,0.0004491518,0.991341,0.000009345314,0.0003664394,0.0005212931,0.00005828354,0.0003494338,0.006014797],"genre_scores_gemma":[0.993844,0.000001512737,0.005407791,0.000007465154,0.0001110751,0.00005255361,0.000008496709,0.00004019007,0.0005269666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9929537,"threshold_uncertainty_score":0.5330589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428718273259854,"score_gpt":0.209166484620141,"score_spread":0.1948793018875425,"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."}}