{"id":"W3008780190","doi":"10.1002/rnc.4950","title":"Adaptive fault tolerant control for a class of uncertain fractional‐order systems based on disturbance observer","year":2020,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Control theory (sociology); Actuator; Nonlinear system; Disturbance (geology); Convergence (economics); Observer (physics); Fault tolerance; Computer science; Scheme (mathematics); Control (management); Control engineering; Engineering; Mathematics; Artificial intelligence; Distributed computing","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":[0.0002417499,0.0002689858,0.0003815208,0.0002212756,0.0002920968,0.0004681884,0.0004320107,0.0004127458,0.0005909962],"category_scores_gemma":[0.0005149593,0.0001132037,0.0002700695,0.0001618505,0.0003574721,0.00030738,0.000282192,0.0003946198,0.00006194277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485654,"about_ca_system_score_gemma":0.000264088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955775,"about_ca_topic_score_gemma":0.001971801,"domain_scores_codex":[0.9998611,0.00001922696,0.00000945146,0.00003026348,0.00005473135,0.0000252173],"domain_scores_gemma":[0.9998239,0.00005198734,0.00004701142,0.0000186329,0.00004939244,0.000009283522],"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":[0.0003400054,0.00007852185,0.002048888,0.0002257207,0.00008757407,0.0007943619,0.0003149383,0.8321005,0.07540888,0.02356919,0.0009683315,0.06406309],"study_design_scores_gemma":[0.00001111298,0.00004309108,0.0004014795,0.000003342472,0.000006036973,0.00003010707,0.000007165118,0.9958459,0.001985552,0.0008614435,0.0008005849,0.000004229795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1333053,0.0004648307,0.8612145,0.00014312,0.0001477799,0.00003811159,0.00002937235,0.0003470869,0.004309909],"genre_scores_gemma":[0.9919106,0.0001000685,0.006883739,0.00001578894,0.00001437698,0.00002105639,0.00001888894,0.000003905053,0.001031466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003955775,"threshold_uncertainty_score":0.007865489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398877027739193,"score_gpt":0.240633382698922,"score_spread":0.21664461242153,"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."}}