{"id":"W3112248128","doi":"10.1109/jphotov.2020.3041237","title":"Nonlinear Control and Internal Stability Analysis of Series-Connected Boost DC/DC Converters in PV Systems With Distributed MPPT","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Photovoltaics","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Converters; Photovoltaic system; Control theory (sociology); Maximum power point tracking; Linearization; Robustness (evolution); Computer science; Nonlinear system; Operating point; Power optimizer; Power (physics); Electronic engineering; Engineering; Control (management); Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003316095,0.0004159953,0.0002948826,0.0002216959,0.0002620794,0.0006409346,0.0003089846,0.0002859396,0.00138831],"category_scores_gemma":[0.0005031046,0.0001375145,0.0003699354,0.0001563259,0.000540303,0.000282744,0.0003195815,0.0003993888,0.0001740789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640931,"about_ca_system_score_gemma":0.0003129898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028025,"about_ca_topic_score_gemma":0.001925712,"domain_scores_codex":[0.9998771,0.00003659559,0.000004873515,0.000020737,0.00005077418,0.000009838303],"domain_scores_gemma":[0.9998369,0.00006814952,0.00003252799,0.00001325555,0.00004420716,0.000004933704],"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":[0.0001823124,0.00008261012,0.0009664538,0.0002004796,0.00004311954,0.0001697682,0.0002100017,0.9302629,0.03260535,0.01127058,0.0004481949,0.02355835],"study_design_scores_gemma":[0.000003181849,0.00003489897,0.00020423,0.000004089583,0.000004495167,0.000008929497,0.00001379141,0.9972313,0.001573836,0.0007671088,0.000151718,0.000002315801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2933397,0.0007969727,0.6724693,0.0003013267,0.0000612768,0.0001349865,0.00008980508,0.0003390326,0.03246768],"genre_scores_gemma":[0.994806,0.0001492397,0.003094673,0.00000930808,0.000006615939,0.00003066019,0.00001452306,0.00001102901,0.00187797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0028025,"threshold_uncertainty_score":0.005572379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372565609332898,"score_gpt":0.225473863313777,"score_spread":0.211748207220448,"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."}}