{"id":"W2030405456","doi":"10.1109/ecce.2013.6647086","title":"Nonlinear control of wind energy conversion system based on Control-Lyapunov function","year":2013,"lang":"en","type":"article","venue":"","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Lyapunov function; Controller (irrigation); Operating point; Lyapunov redesign; Nonlinear system; Control-Lyapunov function; Control system; Computer science; Lyapunov stability; Sensitivity (control systems); Control engineering; Engineering; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819645,0.0002610346,0.0005049813,0.0001837622,0.00003906527,0.00003199023,0.0001447687,0.0001767114,0.0002556691],"category_scores_gemma":[0.00001940206,0.0002168072,0.0001507429,0.0001453841,0.00002094987,0.0001610047,0.000006709643,0.0001160701,0.000302141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264619,"about_ca_system_score_gemma":0.000023004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003711927,"about_ca_topic_score_gemma":0.000007613839,"domain_scores_codex":[0.9985709,0.00008368674,0.0004932036,0.0002252789,0.0003204184,0.000306547],"domain_scores_gemma":[0.999004,0.0001914305,0.00010072,0.0003989474,0.0001750202,0.0001298554],"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":[0.0008018795,0.0002759754,0.009031539,0.001293693,0.000838718,0.000018766,0.00003927425,0.7793162,0.1799423,0.005260627,0.0200571,0.003123918],"study_design_scores_gemma":[0.00618573,0.0002657606,0.002131054,0.0000996646,0.00006250598,0.00000263859,0.0000573948,0.983507,0.003633632,0.000003855644,0.003833604,0.0002171962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1583927,0.0005223961,0.7725362,0.0004893727,0.004370924,0.002180311,0.0001100714,0.002158459,0.05923951],"genre_scores_gemma":[0.9989085,8.292362e-7,0.0000843144,0.0002503623,0.0003292253,0.00004652389,0.00001636594,0.00005264683,0.000311297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8405157,"threshold_uncertainty_score":0.884114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003024336354870486,"score_gpt":0.1465885250717365,"score_spread":0.143564188716866,"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."}}