{"id":"W2464082415","doi":"10.1002/cjce.22551","title":"PI controller design for a TITO system based on delay compensated structure and direct synthesis","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Control theory (sociology); Transfer function; PID controller; Compensation (psychology); Controller (irrigation); Process (computing); Computer science; Function (biology); Mathematics; Control engineering; Engineering; Control (management); Temperature control","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":[0.0002304225,0.0005136364,0.0004692645,0.0002092936,0.0003987289,0.0006400808,0.0006370127,0.0004931075,0.00196336],"category_scores_gemma":[0.0004134192,0.000234367,0.0003069443,0.0001910617,0.0003719133,0.0003077706,0.0004491641,0.0005555247,0.0003203258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003948319,"about_ca_system_score_gemma":0.0006808333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960235,"about_ca_topic_score_gemma":0.002376697,"domain_scores_codex":[0.9998013,0.00002538116,0.000009597235,0.00005581335,0.00009069895,0.00001716801],"domain_scores_gemma":[0.9998668,0.00003506316,0.00002873175,0.0000158284,0.00004510923,0.000008427429],"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":[0.000326876,0.0001529769,0.0007344621,0.0005030287,0.00008504108,0.0003013729,0.0003656969,0.5239819,0.2873125,0.02396186,0.001555067,0.1607193],"study_design_scores_gemma":[0.00006793184,0.0003022294,0.0003306553,0.00001075662,0.00002465745,0.0000719585,0.00001966756,0.9771762,0.01712193,0.001235861,0.003621936,0.00001617962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02793722,0.0001243079,0.9657429,0.00007944483,0.00005096119,0.00008191572,0.00002939949,0.0003965845,0.005557338],"genre_scores_gemma":[0.8547521,0.000122115,0.139613,0.00005541487,0.00003925779,0.0002525675,0.00006986869,0.00002992106,0.005065646],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00196336,"threshold_uncertainty_score":0.006568074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007440270173806414,"score_gpt":0.1648997551016357,"score_spread":0.1574594849278292,"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."}}