{"id":"W2593975450","doi":"10.1109/jphotov.2017.2667724","title":"Robust Feedback Linearizing Control With Sliding Mode Compensation for a Grid-Connected Photovoltaic Inverter System Under Unbalanced Grid Voltages","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Photovoltaics","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"American University of Sharjah; Canada Foundation for Innovation","keywords":"Maximum power point tracking; Control theory (sociology); Photovoltaic system; Inverter; Sliding mode control; Computer science; AC power; Voltage; Grid; Engineering; Electrical engineering; Physics; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004555447,0.0003801832,0.0007398994,0.0002274967,0.0004197023,0.0003775908,0.000459938,0.0001996283,0.000008543097],"category_scores_gemma":[0.00009022964,0.0003196937,0.0002193154,0.0001173798,0.00005761974,0.0007677472,0.0000173119,0.0004096217,0.000004932639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141432,"about_ca_system_score_gemma":0.0001032791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000103757,"about_ca_topic_score_gemma":0.0001577596,"domain_scores_codex":[0.9980858,0.00004606884,0.0007985025,0.0002374729,0.0003642442,0.0004679176],"domain_scores_gemma":[0.997583,0.000181412,0.0008447646,0.0004146749,0.0007884788,0.0001876569],"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":[0.0004256979,0.00002547743,0.0006849998,0.0002541881,0.0003482465,0.0000194884,0.0001516016,0.6189962,0.3773667,0.00002425713,0.001377267,0.0003258741],"study_design_scores_gemma":[0.006908735,0.0002083854,0.001036623,0.0005685826,0.0002797297,0.000138821,0.0002000112,0.9219337,0.06787623,0.00003535408,0.0004277328,0.0003860697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3178042,0.0006476367,0.6765894,0.00009748643,0.003362756,0.001009169,0.0001482862,0.000216995,0.0001240473],"genre_scores_gemma":[0.9907599,0.0001666913,0.007072483,0.0001356492,0.001677002,0.00003546022,0.00002133758,0.0001035207,0.00002792152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6729558,"threshold_uncertainty_score":0.9999255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012960775369295,"score_gpt":0.2212439890024085,"score_spread":0.2011143812487156,"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."}}