{"id":"W3043371485","doi":"10.1109/tfuzz.2020.3009755","title":"Event-Triggered Fuzzy Flight Control of a Two-Degree-of-Freedom Helicopter System","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Fuzzy Systems","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Fuzzy logic; Fuzzy control system; Nonlinear system; PID controller; Control system; Mathematics; Controller (irrigation); Computer science; Linear matrix inequality; Bandwidth (computing); Lyapunov function; Artificial neural network; Lyapunov stability; Control (management); Control engineering; Mathematical optimization; Artificial intelligence; Engineering; Telecommunications","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":[0.0004161714,0.000641631,0.0004974866,0.0002204775,0.0005692819,0.0009657407,0.0005781152,0.0008555382,0.001148247],"category_scores_gemma":[0.0005198353,0.0001495491,0.0003967915,0.0002454088,0.0005031593,0.0004336486,0.0005319866,0.0005755679,0.00008431865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000406963,"about_ca_system_score_gemma":0.0005967487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009102109,"about_ca_topic_score_gemma":0.00441996,"domain_scores_codex":[0.9997662,0.00004042187,0.00001533837,0.00007170351,0.00006664897,0.00003972341],"domain_scores_gemma":[0.9998196,0.0000530916,0.00004088127,0.00001122021,0.0000576005,0.00001771379],"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":[0.0005379939,0.0001161307,0.001178917,0.0003359454,0.00008039639,0.001464694,0.0004740859,0.9112478,0.03544495,0.01096848,0.001037141,0.03711341],"study_design_scores_gemma":[0.00002974289,0.00014891,0.0003389834,0.000006034071,0.00001095829,0.00003439656,0.00002637953,0.9972579,0.001217062,0.0005933337,0.0003289465,0.000007458335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2759976,0.0007251111,0.7125247,0.0004941935,0.0003411193,0.0001208514,0.0001082221,0.0003232068,0.009364981],"genre_scores_gemma":[0.9953311,0.00009378239,0.003524612,0.00002218254,0.00001487538,0.00002945334,0.00001625564,0.000002276434,0.0009654262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009102109,"threshold_uncertainty_score":0.01809824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155991385395347,"score_gpt":0.2201662754728658,"score_spread":0.1986063616189123,"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."}}