{"id":"W4389041466","doi":"10.1109/iai59504.2023.10327592","title":"Finite-Time Fractional-Order Neural Adaptive Fault-Tolerant Control of High-Speed UAV with Redundant Second-Order Actuators","year":2023,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Aeronautical Science Foundation of China; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Ministry of Education","keywords":"Control theory (sociology); Actuator; Fault tolerance; Artificial neural network; Computer science; Tracking error; Adaptive control; Control engineering; Engineering; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003071926,0.000459591,0.0003557869,0.0001436526,0.0004194652,0.0004315867,0.000506083,0.0004778302,0.0004074488],"category_scores_gemma":[0.0004911757,0.0001367342,0.0003037082,0.0001615096,0.0004108781,0.0003258795,0.0003087484,0.0003514368,0.00003652825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734645,"about_ca_system_score_gemma":0.0004153874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0063591,"about_ca_topic_score_gemma":0.003773875,"domain_scores_codex":[0.9998467,0.00002335656,0.00001020198,0.00003625669,0.0000580203,0.00002539893],"domain_scores_gemma":[0.9998005,0.00004996326,0.00007063946,0.00001595208,0.0000504849,0.00001239538],"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":[0.000209175,0.00006291699,0.001034089,0.000165814,0.00006229118,0.0003532817,0.0001929935,0.921124,0.03405384,0.004325277,0.0004136805,0.03800277],"study_design_scores_gemma":[0.000008157832,0.00008909486,0.0002605148,0.00000341232,0.000007404225,0.00002220445,0.000008122687,0.9977896,0.001392666,0.0002510443,0.0001641314,0.000003607719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2632561,0.0008142654,0.7299798,0.0002468041,0.0002341285,0.00003998929,0.00002734731,0.0002637192,0.00513792],"genre_scores_gemma":[0.9935726,0.00009254315,0.005655917,0.00001738219,0.00001073158,0.0000186654,0.000007683251,0.000001952679,0.0006225915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0063591,"threshold_uncertainty_score":0.01264417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046245948868981,"score_gpt":0.2111974012075687,"score_spread":0.2007349417188789,"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."}}