{"id":"W1970458140","doi":"10.2316/journal.201.2012.3.201-2350","title":"INTELLIGENT CONTROL OF WECS SUBJECT TO PARAMETER UNCERTAINTIES, ACTUATOR AND SENSOR FAULTS","year":2012,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Actuator; Fuzzy logic; Fuzzy control system; Observer (physics); Convex optimization; Linear matrix inequality; Fault (geology); Controller (irrigation); Computer science; Mathematics; Mathematical optimization; Control (management); Regular polygon; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008956229,0.0004333322,0.001018547,0.0001935854,0.00007923719,0.00007523613,0.000185455,0.0002076609,0.00002408035],"category_scores_gemma":[0.0002538022,0.0003572429,0.0001541083,0.0001597061,0.0001139794,0.0002008301,0.00003114463,0.0001934057,0.00004432515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174293,"about_ca_system_score_gemma":0.00002158921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003518307,"about_ca_topic_score_gemma":0.00002204085,"domain_scores_codex":[0.9974764,0.0001966073,0.0009601547,0.0003421534,0.0003301071,0.0006945975],"domain_scores_gemma":[0.9979288,0.0008465885,0.0001363797,0.0004251885,0.0001623589,0.0005007159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007324582,0.001490648,0.4330122,0.01281246,0.01091856,0.00005305577,0.04797485,0.07519509,0.1378448,0.03560791,0.008458056,0.2293078],"study_design_scores_gemma":[0.01140174,0.002461704,0.0221624,0.001996061,0.001272166,0.0003196023,0.02127391,0.5175529,0.01774632,0.000284,0.3992901,0.004239101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267376,0.05400816,0.2107587,0.0002237548,0.003525557,0.003297352,0.0002271073,0.0003030776,0.0009187204],"genre_scores_gemma":[0.9986368,0.0002851113,0.00006309264,0.000151034,0.000429328,0.0002056437,0.000004613161,0.00004875291,0.0001756707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4423578,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631604655426273,"score_gpt":0.2266747796682854,"score_spread":0.2103587331140227,"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."}}