{"id":"W2511130266","doi":"10.1021/acs.iecr.5b00481","title":"Identification of MIMO Continuous-Time Models Using Simultaneous Step Inputs","year":2015,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"MIMO; Transfer function; Control theory (sociology); Computer science; Robustness (evolution); Identification (biology); Input/output; System identification; Multivariable calculus; Estimation theory; Fractionating column; Algorithm; Distillation; Control (management); Control engineering; Engineering; Measure (data warehouse); Artificial intelligence; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004193022,0.0008428675,0.0005445843,0.0003611344,0.0002343487,0.0007527031,0.0006235794,0.0006991036,0.000970348],"category_scores_gemma":[0.001090537,0.0004217809,0.0007980327,0.0003387924,0.0003849724,0.0005070799,0.0007514191,0.001062982,0.0002396131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180687,"about_ca_system_score_gemma":0.0006672029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003371859,"about_ca_topic_score_gemma":0.0029705,"domain_scores_codex":[0.9996552,0.00006713684,0.00002156811,0.00007439929,0.0001414059,0.00004022193],"domain_scores_gemma":[0.9995363,0.0002473807,0.00006999781,0.00004543829,0.00008702192,0.00001403562],"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":[0.00007994291,0.00004516443,0.0006757727,0.0001581509,0.00007226388,0.0001268967,0.00009453289,0.9407945,0.02121606,0.005844408,0.0002180129,0.03067425],"study_design_scores_gemma":[0.000003747864,0.00003446087,0.0001509781,0.000003549462,0.000005762988,0.0000157046,0.000005694338,0.9963619,0.002552283,0.0005918154,0.000268344,0.000005736591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0163874,0.000127787,0.9820068,0.00003832176,0.00002230267,0.00002705176,0.0000356647,0.0002132381,0.001141292],"genre_scores_gemma":[0.8977038,0.0002765122,0.09899403,0.00003637266,0.00002071138,0.0001951315,0.0001386902,0.000031512,0.002603169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003371859,"threshold_uncertainty_score":0.00670445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08074321064619411,"score_gpt":0.3074673220643125,"score_spread":0.2267241114181184,"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."}}