{"id":"W4391070337","doi":"10.1016/j.ast.2024.108901","title":"Linear time-varying fractional-order model predictive attitude control for satellite using two reaction wheels","year":2024,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Model predictive control; Control theory (sociology); Nonlinear system; Satellite; Linear model; Computer science; Reaction wheel; Control (management); Dual (grammatical number); Kinematics; Attitude control; Control engineering; Engineering; Artificial intelligence; Machine learning","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":[0.0003435097,0.0005361394,0.0005908053,0.0002235178,0.0005219265,0.0006395513,0.0006384843,0.0005456788,0.000906796],"category_scores_gemma":[0.0005466812,0.0002665317,0.0004317751,0.0003138677,0.0004198392,0.0003729419,0.0004094736,0.0004597486,0.0001898882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367052,"about_ca_system_score_gemma":0.0003997156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007378862,"about_ca_topic_score_gemma":0.006142643,"domain_scores_codex":[0.9998335,0.00003296962,0.000008438109,0.00003994962,0.00005345234,0.00003176244],"domain_scores_gemma":[0.9997919,0.00006285782,0.00004516503,0.00002600493,0.00006328277,0.00001078396],"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":[0.0004865818,0.0001052607,0.000800013,0.0002946212,0.0001058348,0.000191991,0.0002330841,0.8636122,0.05403885,0.005265684,0.001127239,0.07373869],"study_design_scores_gemma":[0.00001738834,0.00009915457,0.0002382922,0.000005770713,0.00001677199,0.00001189921,0.000007963925,0.9960716,0.002644479,0.0003618163,0.00051824,0.000006664574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313926,0.0006158722,0.8615381,0.0001916008,0.0002634358,0.00003303077,0.0000414463,0.000529325,0.005394532],"genre_scores_gemma":[0.9876021,0.0001041124,0.01061583,0.0000193317,0.00001494643,0.00002092037,0.00002060003,0.000009739381,0.001592421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007378862,"threshold_uncertainty_score":0.01467186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192831953830747,"score_gpt":0.2695316234583643,"score_spread":0.2576033039200569,"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."}}