{"id":"W2969090939","doi":"10.23919/ecc.2019.8796138","title":"A Dead-Time Compensator With Dead-Beat Disturbance Rejection Response","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agência Nacional de Energia Elétrica; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Sustainable Development Technology Canada","keywords":"Control theory (sociology); Dead time; Robustness (evolution); Beat (acoustics); Dead zone; Disturbance (geology); Computer science; Mathematics; Physics; Artificial intelligence; Acoustics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000196531,0.0001836678,0.0002502094,0.00006409623,0.00003370639,0.00003036438,0.0001139215,0.00005298208,0.0001410103],"category_scores_gemma":[0.00001823153,0.0001496265,0.00003797443,0.0001795561,0.00001678671,0.000202823,0.00001105333,0.0001178957,0.001681284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783183,"about_ca_system_score_gemma":0.00001602728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001597589,"about_ca_topic_score_gemma":0.00001295519,"domain_scores_codex":[0.9990745,0.00008098494,0.0001861677,0.0002236108,0.0001699006,0.0002648837],"domain_scores_gemma":[0.9992874,0.0001721497,0.00003284765,0.0003954524,0.00004000008,0.00007210404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003785273,0.00004031917,0.00474208,0.0001530452,0.0002427376,0.00006719035,0.000317253,0.1245445,0.8575922,0.001490749,0.003888903,0.003135724],"study_design_scores_gemma":[0.0109849,0.001950349,0.05736923,0.0005509065,0.000117786,0.0003887634,0.0003322625,0.6484056,0.07133849,0.0003046415,0.2053443,0.00291277],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688574,0.0002516143,0.2124003,0.00008672979,0.0003274294,0.000807657,0.000005475372,0.001383956,0.01587943],"genre_scores_gemma":[0.9841609,0.000001621403,0.004054867,0.00004866484,0.00005215486,0.0000413689,0.000002523177,0.00005807821,0.01157981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7862538,"threshold_uncertainty_score":0.999096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0039935722292341,"score_gpt":0.1799923092566449,"score_spread":0.1759987370274108,"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."}}