{"id":"W2908116846","doi":"10.1109/iecon.2018.8591124","title":"Improved Voltage Controlled Three Phase Voltage Source Inverter Using Model Predictive Control for Standalone System","year":2018,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Pulse-width modulation; Transient (computer programming); MATLAB; Inverter; Voltage; Model predictive control; Computer science; Weighting; Total harmonic distortion; Waveform; Voltage source; Engineering; Control (management); Physics; Artificial intelligence; Electrical engineering","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":[0.000295908,0.0004510733,0.0008314991,0.0001445555,0.0002265322,0.0001064707,0.000272742,0.0002114864,0.0000721086],"category_scores_gemma":[0.00002753259,0.0003806301,0.0002810492,0.000100321,0.0001255968,0.0003199587,0.00003360254,0.000159776,0.00001594185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979999,"about_ca_system_score_gemma":0.00006443409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009730584,"about_ca_topic_score_gemma":0.00008197222,"domain_scores_codex":[0.9980304,0.00001808504,0.0006062856,0.0004313587,0.0002372337,0.0006765869],"domain_scores_gemma":[0.9988252,0.0001099148,0.0001083256,0.0004405584,0.0002734268,0.000242558],"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":[0.01320014,0.0004016675,0.0003031292,0.001184823,0.003933184,0.00001784116,0.002950022,0.0816887,0.8145989,0.00210186,0.01043495,0.06918479],"study_design_scores_gemma":[0.03612891,0.0003122191,0.000004033957,0.00006797297,0.0002607483,0.000005047074,0.0003354387,0.9584962,0.003695699,0.00008479603,0.0001670804,0.0004418901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02240567,0.00006876954,0.972496,0.00001316103,0.0006488187,0.002286016,0.0003341501,0.0007708343,0.000976553],"genre_scores_gemma":[0.9967078,0.000001534691,0.001599912,0.00037601,0.0003657672,0.0002978073,0.0000139596,0.0001211994,0.0005159986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9743021,"threshold_uncertainty_score":0.9998646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904158219371314,"score_gpt":0.2398901155656871,"score_spread":0.220848533371974,"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."}}