{"id":"W3037036129","doi":"10.1109/apec39645.2020.9124449","title":"Lyapunov Based Neural Network Estimator Designed for Grid-Tied Nine-Level Packed E-Cell Inverter","year":2020,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Artificial neural network; Computer science; Estimator; Lyapunov function; MATLAB; Grid; Inverter; DSPACE; Engineering; Nonlinear system; Algorithm; Mathematics; Artificial intelligence; Control (management); Voltage","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":[0.00008465947,0.0003716464,0.0003861427,0.00004494164,0.00009792692,0.00007613817,0.0003004961,0.0001410107,0.000559518],"category_scores_gemma":[0.00002075329,0.0003410178,0.0002025316,0.0002033104,0.00003642086,0.0001646658,0.00003257041,0.0001526694,0.0001198517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004230824,"about_ca_system_score_gemma":0.00003734488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614602,"about_ca_topic_score_gemma":0.000009341606,"domain_scores_codex":[0.9984559,0.00002690062,0.0003800196,0.000358967,0.0001762219,0.0006019552],"domain_scores_gemma":[0.9991512,0.000137754,0.00004272566,0.0002655135,0.00005256578,0.0003502948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002712799,0.00005529609,0.001872963,0.0005075985,0.0001458895,0.00002118584,0.0003579711,0.08566996,0.02255072,0.0001780889,0.8636843,0.02468476],"study_design_scores_gemma":[0.002013135,0.00008692523,0.0004420915,0.0000151604,0.00004521168,0.000001044637,0.00003757196,0.9845204,0.008361022,0.00003051361,0.003981786,0.0004651073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009136738,0.00006992611,0.9846531,0.001145629,0.0009897418,0.0008015458,0.00007021783,0.0009938476,0.002139303],"genre_scores_gemma":[0.9542823,0.000002618964,0.03537012,0.009207878,0.0004736185,0.0001310955,0.00008844356,0.0001199044,0.0003240058],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9492829,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908033315949734,"score_gpt":0.2128898623387742,"score_spread":0.1638095291792768,"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."}}