{"id":"W2890889850","doi":"10.1109/icuas.2018.8453440","title":"Fault-Tolerant Control of a Hexacopter UAV based on Self-Scheduled Control Allocation","year":2018,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control reconfiguration; Robustness (evolution); Fault tolerance; Control theory (sociology); Computer science; Actuator; Scheduling (production processes); Control engineering; MATLAB; Mathematical optimization; Engineering; Distributed computing; Embedded system; Mathematics; 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":[0.0001716165,0.000396108,0.0003253164,0.0001791094,0.0003448363,0.0004307217,0.0004434919,0.0003394149,0.0009427215],"category_scores_gemma":[0.0003237845,0.0001223749,0.0001957693,0.0001244821,0.0003678227,0.0002215408,0.0003430365,0.0003510969,0.0001248342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739763,"about_ca_system_score_gemma":0.0004539348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003917751,"about_ca_topic_score_gemma":0.002505448,"domain_scores_codex":[0.9998733,0.00001697914,0.000006464534,0.00004225327,0.00003859945,0.00002237637],"domain_scores_gemma":[0.9998448,0.00004136689,0.0000438215,0.00001887819,0.00003721477,0.0000139182],"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":[0.0001943335,0.00004407841,0.0006566168,0.00009456625,0.00002666977,0.0001428118,0.0001426113,0.8657323,0.04640338,0.005999256,0.0006604465,0.079903],"study_design_scores_gemma":[0.00001268353,0.00008211818,0.0002016263,0.000003890074,0.000005054349,0.00002474214,0.000009556526,0.9946429,0.004011839,0.0004884726,0.0005128343,0.000004348947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.094801,0.0001887554,0.9002042,0.0001064914,0.00007425794,0.00005443719,0.00002264454,0.0005735007,0.003974702],"genre_scores_gemma":[0.9703662,0.00004263656,0.02830382,0.00003123799,0.00001067123,0.00004273458,0.00001737343,0.00001341587,0.001171976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003917751,"threshold_uncertainty_score":0.00778991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004174706558094082,"score_gpt":0.1973813382074676,"score_spread":0.1932066316493735,"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."}}