{"id":"W2067801031","doi":"10.1002/cjce.5450790518","title":"Multi‐controller scheme for load rejection and set‐point tracking","year":2001,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Control theory (sociology); Feed forward; Controller (irrigation); Compensation (psychology); Realizability; Computer science; Load rejection; Scheme (mathematics); Open-loop controller; Set (abstract data type); Tracking (education); Control engineering; Control (management); Engineering; Mathematics; Closed loop; Artificial intelligence; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004644505,0.0005184317,0.0004613711,0.0004182138,0.0004619693,0.0005387173,0.001523162,0.000755389,0.003892716],"category_scores_gemma":[0.000710922,0.0002023222,0.0003049082,0.0002108885,0.0003264162,0.0006997035,0.0007965576,0.0009079627,0.000615261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000444132,"about_ca_system_score_gemma":0.0005399284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008940771,"about_ca_topic_score_gemma":0.001248588,"domain_scores_codex":[0.9995008,0.00005987423,0.00003901199,0.0001086872,0.0002374118,0.00005421229],"domain_scores_gemma":[0.99958,0.00006789008,0.00006133124,0.00009586626,0.0001602927,0.00003468194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009299786,0.0004219669,0.0007589739,0.0004246307,0.0001049329,0.000416335,0.0002894466,0.1443267,0.3170617,0.01506039,0.003541584,0.5166635],"study_design_scores_gemma":[0.0001235369,0.0004136241,0.0005505831,0.00002773195,0.00002456863,0.0001493686,0.00001133771,0.9336935,0.05847381,0.001741216,0.004755686,0.00003494845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03800916,0.0002946814,0.9561653,0.0001015838,0.0001876733,0.0001110708,0.00003066001,0.001335386,0.003764422],"genre_scores_gemma":[0.8868002,0.00007426789,0.1083984,0.00009110301,0.00006505216,0.0001523752,0.00005787922,0.00002582385,0.004335037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003892716,"threshold_uncertainty_score":0.01302242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421967081843441,"score_gpt":0.203926639006039,"score_spread":0.1897069681876045,"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."}}