{"id":"W2218328945","doi":"10.1109/iccas.2015.7364911","title":"MPC-based FTC with FDD against actuator faults of UAVs","year":2015,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Actuator; Control theory (sociology); Fault tolerance; Controller (irrigation); Kalman filter; Fault (geology); Fault detection and isolation; Model predictive control; Computer science; Engineering; Control engineering; Extended Kalman filter; Control (management); Reliability engineering; Artificial intelligence","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":[0.00007965264,0.00009568457,0.0001496355,0.0000545735,0.00001057806,0.000008943781,0.0000678905,0.00004891573,0.00002801796],"category_scores_gemma":[0.00001369398,0.00007032628,0.00003224483,0.000115741,0.00001390345,0.00005177119,0.000003605511,0.0000559817,0.00007564515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003798629,"about_ca_system_score_gemma":0.00002892304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004943489,"about_ca_topic_score_gemma":0.000088008,"domain_scores_codex":[0.9994735,0.00001192697,0.0001453667,0.00008225094,0.0001632795,0.0001237145],"domain_scores_gemma":[0.999629,0.00001695195,0.00002193026,0.0001708542,0.00005455198,0.0001066619],"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":[0.001121378,0.0003741387,0.006470003,0.000858343,0.0008703036,0.00008296026,0.002312122,0.6412678,0.2107202,0.001190556,0.05328337,0.08144883],"study_design_scores_gemma":[0.006719009,0.0004170882,0.000606243,0.0001065573,0.00002917328,0.000009335416,0.001421593,0.7907954,0.09758215,0.00001655562,0.1017436,0.0005532759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044603,0.00008014245,0.01140184,0.0000780262,0.00042408,0.0002372864,0.000007192992,0.000637276,0.08267386],"genre_scores_gemma":[0.9988759,8.573723e-7,0.0003687191,0.00007892143,0.000047265,0.00001555524,0.000002527668,0.00001953464,0.0005907691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1495276,"threshold_uncertainty_score":0.2867823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046683596164842,"score_gpt":0.1933225498530657,"score_spread":0.1828557138914172,"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."}}