{"id":"W2150113257","doi":"10.1109/naps.2008.5307374","title":"Design of a state-feedback controller and optimal observer for a wind turbine system including a matrix converter","year":2008,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Observer (physics); Turbine; Separation principle; Open-loop controller; Eigenvalues and eigenvectors; Weighting; Full state feedback; Computer science; Minor loop feedback; State observer; Matrix (chemical analysis); Quadratic equation; Control engineering; Engineering; Mathematics; Closed loop; Control (management); Nonlinear system; 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":[0.0006980471,0.0005084533,0.0007595432,0.0003070128,0.000488776,0.001030209,0.0006779162,0.0009664306,0.001951797],"category_scores_gemma":[0.001108573,0.000410664,0.0003945271,0.0002144413,0.0004764855,0.0006715655,0.000431606,0.0009234581,0.0005941576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973419,"about_ca_system_score_gemma":0.001200984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003793385,"about_ca_topic_score_gemma":0.003645805,"domain_scores_codex":[0.9996339,0.0000540409,0.00003267506,0.00009751511,0.0001502673,0.00003161309],"domain_scores_gemma":[0.999599,0.0001106616,0.00007196106,0.00003315445,0.0001673122,0.00001792873],"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":[0.0003635439,0.0002531369,0.001675943,0.000718498,0.0001585064,0.0006692356,0.0004113025,0.6621208,0.1062531,0.02467011,0.003228909,0.1994769],"study_design_scores_gemma":[0.00007131712,0.0001659459,0.0003327465,0.00001879508,0.00002910079,0.0000633591,0.00001927788,0.9870074,0.008829329,0.0009428361,0.002505498,0.00001441634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009087419,0.0001592168,0.9876558,0.0001330851,0.00007897334,0.000101047,0.00002647648,0.0005876902,0.002170321],"genre_scores_gemma":[0.8100284,0.000316342,0.1847899,0.0001625247,0.00007395916,0.0005588211,0.00009656061,0.00005026013,0.003923206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003793385,"threshold_uncertainty_score":0.00754261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04172186817743159,"score_gpt":0.231474857206361,"score_spread":0.1897529890289294,"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."}}