{"id":"W4400644385","doi":"10.1109/tase.2024.3426328","title":"A Novel Chattering-Free Discrete Sliding Mode Controller With Disturbance Compensation for Zinc Roasting Temperature Distribution Control","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for Central Universities of the Central South University; International Science and Technology Cooperation Program of Jiangsu Province; National Natural Science Foundation of China; International Cooperation and Exchange Programme; China Scholarship Council; Postdoctoral Science Foundation of Central South University","keywords":"Control theory (sociology); Compensation (psychology); Roasting; Sliding mode control; Mode (computer interface); Zinc; Disturbance (geology); Controller (irrigation); Temperature control; Materials science; Control engineering; Control (management); Computer science; Engineering; Nonlinear system; Physics; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004353101,0.0006587797,0.0007091654,0.0003722995,0.0004521053,0.000935372,0.00157972,0.0006279962,0.001783129],"category_scores_gemma":[0.0005874019,0.0002670731,0.0005087798,0.0002947134,0.0004857715,0.0005757125,0.000625212,0.0007613352,0.000405366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503012,"about_ca_system_score_gemma":0.00062765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581093,"about_ca_topic_score_gemma":0.00230352,"domain_scores_codex":[0.9995327,0.00004626737,0.00004250622,0.0001398145,0.0001873509,0.00005141086],"domain_scores_gemma":[0.9997306,0.00005150227,0.00003971358,0.0000334069,0.0001243852,0.00002034158],"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":[0.001198246,0.0002867178,0.00148153,0.001068234,0.0002268389,0.0008083786,0.0006859429,0.3792877,0.148439,0.01786197,0.005760393,0.442895],"study_design_scores_gemma":[0.0001033689,0.0003930104,0.0004915887,0.00002081709,0.00003097262,0.000110127,0.00002267605,0.983246,0.0111991,0.000649936,0.003707512,0.00002502414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02823993,0.0007755152,0.9625528,0.0001384134,0.0003281756,0.00009433123,0.00003604326,0.001362466,0.00647236],"genre_scores_gemma":[0.9560038,0.000349202,0.038433,0.0000863557,0.00005509551,0.000151063,0.00006158053,0.00003342543,0.004826524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003581093,"threshold_uncertainty_score":0.00712055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008280365537576554,"score_gpt":0.2192608417498653,"score_spread":0.2109804762122887,"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."}}