{"id":"W2922292104","doi":"10.1109/sdpc.2018.8665002","title":"Active Fault-Tolerant Tracking Control of a Quadrotor UAV","year":2018,"lang":"en","type":"article","venue":"2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Actuator; Controller (irrigation); Kalman filter; Estimator; Fault tolerance; Fault (geology); Control engineering; Engineering; Fault detection and isolation; Computer science; Tracking (education); Linear-quadratic regulator; Control (management); Artificial intelligence; Mathematics","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":[0.0001730849,0.0005326127,0.0002878211,0.0001628662,0.0002946432,0.0003854467,0.0005011511,0.0003483655,0.0004885924],"category_scores_gemma":[0.0003756697,0.0001276285,0.0002049135,0.0001170193,0.0002777597,0.0002475867,0.0003015432,0.0002800013,0.00009193443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201947,"about_ca_system_score_gemma":0.000280289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328858,"about_ca_topic_score_gemma":0.001580268,"domain_scores_codex":[0.9998686,0.00001689932,0.000007447343,0.00004771131,0.00004108064,0.00001823259],"domain_scores_gemma":[0.9998329,0.00003445438,0.0000504499,0.00001495887,0.00005459953,0.00001266454],"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":[0.000357331,0.00007346566,0.001762926,0.0002419871,0.0000609773,0.0006467541,0.0002494106,0.6814932,0.1753352,0.00827808,0.001227238,0.1302734],"study_design_scores_gemma":[0.00001774297,0.000230053,0.0004050407,0.0000050454,0.00001097125,0.00006077178,0.0000115794,0.9921446,0.00581928,0.0004115273,0.0008781296,0.000005246542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09840682,0.0003253316,0.8972562,0.0001220823,0.0001060341,0.00004067132,0.00002905567,0.0003262992,0.003387417],"genre_scores_gemma":[0.9876841,0.0000752898,0.01120902,0.00002333299,0.00001448038,0.00002646123,0.00001796094,0.000005692358,0.0009437259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00328858,"threshold_uncertainty_score":0.006538868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996591467655686,"score_gpt":0.2498538700243835,"score_spread":0.2298879553478267,"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."}}