{"id":"W2921106305","doi":"10.1109/ropec.2018.8661382","title":"Distributed MPPT Nonlinear Control Algorithm for Boost DC-DC Converters in Cascaded Connection","year":2018,"lang":"en","type":"article","venue":"","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Converters; Control theory (sociology); Maximum power point tracking; Boost converter; Nonlinear system; Controller (irrigation); Computer science; MATLAB; Linearization; Feedback linearization; Cascade; Transient (computer programming); Maximum power principle; Power (physics); Algorithm; Photovoltaic system; Engineering; Inverter; Control (management); 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":[],"consensus_categories":[],"category_scores_codex":[0.0003159553,0.0002075744,0.0003551992,0.0001664691,0.00009754205,0.00004638401,0.0001711116,0.0002220956,0.0003542781],"category_scores_gemma":[0.000170266,0.0001961925,0.00009022147,0.0003069633,0.00009546001,0.0001867956,0.00002366892,0.00008527939,0.00006410035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224218,"about_ca_system_score_gemma":0.00005098241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004030657,"about_ca_topic_score_gemma":0.001493005,"domain_scores_codex":[0.9985232,0.00009294084,0.0005022694,0.0003602637,0.0001681505,0.0003531789],"domain_scores_gemma":[0.9989421,0.0001794753,0.0001450473,0.0002957553,0.0003431424,0.0000944729],"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":[0.003326833,0.002815784,0.00908915,0.0004626789,0.001935612,0.0001259455,0.003480574,0.004173914,0.2955039,0.03502993,0.2797396,0.3643162],"study_design_scores_gemma":[0.0033823,0.0002370635,0.0001140467,0.00002992456,0.00002100007,0.00001521817,0.0001836273,0.7326973,0.2229494,0.0002365364,0.03986264,0.000270893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003378367,0.00001540793,0.9910604,0.0002536764,0.0004349203,0.001123316,0.000282679,0.000695174,0.002756065],"genre_scores_gemma":[0.9598029,0.00001016503,0.03678325,0.001107054,0.0003505411,0.0004565146,0.0005283266,0.00005925715,0.0009020503],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9564245,"threshold_uncertainty_score":0.80005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119516987054917,"score_gpt":0.2540964408763285,"score_spread":0.2421447421708368,"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."}}