{"id":"W4386049656","doi":"10.3390/drones7080541","title":"Disturbance Observer-Enhanced Adaptive Fault-Tolerant Control of a Quadrotor UAV against Actuator Faults and Disturbances","year":2023,"lang":"en","type":"article","venue":"Drones","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Actuator; Disturbance (geology); Observer (physics); Computer science; Trajectory; Control engineering; Fault tolerance; Tracking (education); Engineering; Control (management); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492049,0.0003583166,0.0002733659,0.0001472568,0.000149806,0.0002987671,0.000353884,0.0002635103,0.0004106189],"category_scores_gemma":[0.0002492915,0.00009635936,0.0001647205,0.000106037,0.0002188513,0.0002115827,0.0002378556,0.0002280831,0.00006967442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157018,"about_ca_system_score_gemma":0.0001806369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253167,"about_ca_topic_score_gemma":0.001665914,"domain_scores_codex":[0.9999181,0.00001165233,0.000006753815,0.00002399778,0.00002682804,0.00001261531],"domain_scores_gemma":[0.9998821,0.00002341352,0.00003753643,0.00001264247,0.00003621829,0.0000080925],"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":[0.0005369206,0.00009751725,0.002925314,0.0003468517,0.00009844278,0.0008861721,0.0002743424,0.643648,0.2373113,0.004682107,0.0008857547,0.1083073],"study_design_scores_gemma":[0.00002383384,0.0003244617,0.001092789,0.000005973783,0.00001541713,0.00007970059,0.00002066965,0.9868751,0.0104409,0.0002594177,0.0008554618,0.000006310204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2394486,0.0005066946,0.7554047,0.0001327965,0.00016167,0.00004362941,0.00003022749,0.0003583035,0.003913363],"genre_scores_gemma":[0.9931304,0.00007967775,0.005936629,0.00001435247,0.000007858851,0.00001289453,0.0000139908,0.00000317115,0.0008010689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00253167,"threshold_uncertainty_score":0.005033851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341916785224982,"score_gpt":0.215659823754296,"score_spread":0.2022406559020462,"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."}}