{"id":"W2066743194","doi":"10.2316/journal.201.2005.2.201-1426","title":"Anti-Windup Feedforward Controller Design for Reference Input Expressed as a Time Polynomial","year":2005,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Feed forward; Polynomial; Controller (irrigation); Computer science; Mathematics; Control engineering; Control (management); Engineering; Artificial intelligence; Biology; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004865952,0.0006776723,0.0004944726,0.0003194992,0.0003786155,0.0005849578,0.0006819681,0.0007525532,0.002099363],"category_scores_gemma":[0.0008688201,0.0002528404,0.0003099721,0.0003010368,0.0003028928,0.0005281483,0.0003201179,0.0006303281,0.0003989763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909789,"about_ca_system_score_gemma":0.0005015561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053173,"about_ca_topic_score_gemma":0.003349523,"domain_scores_codex":[0.9998247,0.00002687016,0.0000117164,0.00004254578,0.00007552103,0.00001861014],"domain_scores_gemma":[0.9997196,0.00006372676,0.00003846345,0.000024942,0.0001448224,0.000008448218],"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":[0.0005198334,0.0001681421,0.0005282502,0.0009577352,0.0001280504,0.0003085145,0.0003088899,0.5380659,0.1437115,0.03056446,0.00337592,0.2813629],"study_design_scores_gemma":[0.00002724171,0.000141018,0.0001836337,0.00001300318,0.00002146483,0.00003792721,0.00001064873,0.9880511,0.009561507,0.0008992514,0.00104498,0.000008164101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01294136,0.0001764135,0.984755,0.00007313946,0.0000705026,0.00003482784,0.00001716032,0.0001624024,0.001769141],"genre_scores_gemma":[0.8710504,0.0003848326,0.123052,0.00009514461,0.00006590858,0.000131093,0.00007355039,0.00004550709,0.005101552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002099363,"threshold_uncertainty_score":0.007023096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581713575337218,"score_gpt":0.2243551150387485,"score_spread":0.2085379792853763,"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."}}