{"id":"W2108779608","doi":"10.1109/cca.2009.5281158","title":"Performance analysis and tuning of variable-structure PID controllers for level process","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Syncrude (Canada); University of Calgary","funders":"","keywords":"PID controller; Control theory (sociology); Stability (learning theory); Controller (irrigation); Process (computing); Variable (mathematics); Process control; Computer science; Function (biology); Control engineering; Mathematics; Engineering; Control (management); Temperature control; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008830637,0.0001186517,0.0003511774,0.0001280149,0.0000333818,0.0000104821,0.00007645233,0.00005725284,0.00001286963],"category_scores_gemma":[0.00001955747,0.0001025081,0.0000427707,0.0003199411,0.00001178928,0.0001487747,0.000002708699,0.00005085339,1.753063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001979709,"about_ca_system_score_gemma":0.00000938592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003340735,"about_ca_topic_score_gemma":0.000003893883,"domain_scores_codex":[0.9993917,0.00000621545,0.0002225137,0.0001230651,0.00008221064,0.000174314],"domain_scores_gemma":[0.9996562,0.00005850899,0.00004761016,0.0001246088,0.0000715202,0.0000415795],"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":[0.0001075563,0.000006290754,0.003192817,0.0002525053,0.0006381522,3.632005e-7,0.0002110165,0.8873039,0.08953689,0.0007151676,0.00004049133,0.01799478],"study_design_scores_gemma":[0.001064413,0.00007244999,0.003219663,0.0000172985,0.0002068182,0.000002000533,0.00005348957,0.9906057,0.004159287,0.0003861721,0.0000711849,0.0001415301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1265594,0.0001562663,0.8711454,0.00001369463,0.00003660143,0.0002864129,0.00002286948,0.00009758351,0.001681767],"genre_scores_gemma":[0.9828027,0.000006169199,0.01696381,0.00002988661,0.00003171974,0.00001308425,0.000004570302,0.00001114877,0.0001368424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8562434,"threshold_uncertainty_score":0.418016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009691941433487998,"score_gpt":0.2149132295443843,"score_spread":0.2052212881108963,"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."}}