{"id":"W4413095446","doi":"10.1016/j.jprocont.2025.103514","title":"Robust online identification for hybrid multirate systems based on recursive EM algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Nanjing Institute of Technology; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province","keywords":"Identification (biology); Computer science; Algorithm; System identification; Control theory (sociology); Control engineering; Engineering; Artificial intelligence; Data mining; Control (management)","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":[0.0005729531,0.0001520441,0.0003802464,0.0003261839,0.00007583834,0.0001720019,0.0002106316,0.00006514385,0.00000280793],"category_scores_gemma":[0.0002270377,0.0001355228,0.0001477325,0.0001721946,0.00001000562,0.0002316735,0.000002365108,0.0001705942,0.000003853412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539901,"about_ca_system_score_gemma":0.00008785716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004325892,"about_ca_topic_score_gemma":0.00000602,"domain_scores_codex":[0.9985451,0.00004585738,0.0008501384,0.0001433101,0.0002408847,0.0001747727],"domain_scores_gemma":[0.9981608,0.0001612273,0.0004465993,0.0001763162,0.0009937369,0.00006127615],"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":[0.0002488452,0.0001850029,0.00007214277,0.0007911369,0.0002697069,0.000006854893,0.00009898345,0.9291148,0.00671259,0.0001477874,0.004323297,0.05802883],"study_design_scores_gemma":[0.003586422,0.00008886575,0.0006444746,0.0004175956,0.0001380162,0.000006787108,0.0002499332,0.9910965,0.001376057,0.0001367555,0.002136076,0.0001225472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01688561,0.001440707,0.9775685,0.0003422678,0.00257106,0.0009223781,0.0001588518,0.00005780276,0.00005282067],"genre_scores_gemma":[0.9984992,0.00001618076,0.0005047637,0.00005902661,0.0004694826,0.0001029253,0.00002205712,0.00002355934,0.0003027987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9816136,"threshold_uncertainty_score":0.552646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143296503541622,"score_gpt":0.2438285908723096,"score_spread":0.2323956258368934,"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."}}