{"id":"W3126229228","doi":"10.1109/epec48502.2020.9320126","title":"Robust Integral Sliding Mode Control of Non-minimum Phase DC-DC Converters","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Integral sliding mode; Converters; Robustness (evolution); Inductor; Sliding mode control; Computer science; Controller (irrigation); Nonlinear system; Mathematics; Voltage; Engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006645204,0.0004464643,0.0006890724,0.0001471686,0.00006729695,0.00005235395,0.0003413193,0.0001693703,0.0001431797],"category_scores_gemma":[0.00004894666,0.0004552707,0.0001388541,0.0005035969,0.00005884733,0.0003116127,0.00003240296,0.000375138,0.00001358582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007593757,"about_ca_system_score_gemma":0.000105667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007013059,"about_ca_topic_score_gemma":0.00001491057,"domain_scores_codex":[0.9980619,0.00004059144,0.0005040783,0.0004930821,0.0002643939,0.0006359334],"domain_scores_gemma":[0.9990156,0.0001197709,0.0001049995,0.0002612251,0.0001096703,0.0003886867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004671671,0.0001100554,0.0001374728,0.0001455346,0.0004914867,0.0001126976,0.001888928,0.008166453,0.7665814,0.002383035,0.003149983,0.2163658],"study_design_scores_gemma":[0.002816499,0.0004061033,0.00002674477,0.00004217419,0.00007344823,0.00001480098,0.0001835869,0.9623031,0.0323933,0.000116549,0.001125884,0.000497787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06038838,0.0004787256,0.9362152,0.0002605797,0.0005345391,0.0001136177,0.00003251782,0.0002518733,0.001724614],"genre_scores_gemma":[0.9982858,0.0004779204,0.0003262744,0.0005668311,0.0001221533,0.00003005963,0.00001699293,0.00006602164,0.0001079728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9541367,"threshold_uncertainty_score":0.9997899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269775794044251,"score_gpt":0.2163167394424559,"score_spread":0.2036189815020134,"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."}}