{"id":"W4231684162","doi":"10.32920/ryerson.14662506.v1","title":"Intelligent Control of Satellite Formation Flying","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"York University","keywords":"Redundancy (engineering); Control theory (sociology); Fault detection and isolation; Reaction wheel; Actuator; Satellite; Computer science; Fault tolerance; Fault (geology); Attitude control; Sliding mode control; Control engineering; Engineering; Control system; Nonlinear system; Real-time computing; Control (management); Reliability engineering; Distributed computing; Aerospace engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002164887,0.0002694628,0.0005688376,0.0001314441,0.00002140827,0.00008414138,0.0001750045,0.000275565,0.0001613727],"category_scores_gemma":[0.0000152928,0.0002567877,0.0002576318,0.00008800745,0.00001376975,0.0001023325,0.00007545473,0.0003223376,0.00002851003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009487481,"about_ca_system_score_gemma":0.0000301311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009607839,"about_ca_topic_score_gemma":0.00007577837,"domain_scores_codex":[0.9986556,0.00004226177,0.0006489694,0.0001982348,0.0002216343,0.0002332691],"domain_scores_gemma":[0.9991527,0.00005061286,0.0001204597,0.0004597228,0.0001491228,0.00006743521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003828279,0.00007135851,0.001029817,0.007719546,0.001352689,0.00003012754,0.006107698,0.2281968,0.05065411,0.002579473,0.0002422425,0.7019779],"study_design_scores_gemma":[0.001141848,0.00004392919,0.000997606,0.001726135,0.0002549653,0.00002273255,0.003973001,0.8773333,0.08568063,0.0004132763,0.02722208,0.001190437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03234892,0.03469306,0.9081323,0.00005920306,0.001978616,0.0008301552,0.00002650275,0.00043218,0.02149912],"genre_scores_gemma":[0.9957976,0.00293163,0.0007577463,0.00003083732,0.0001368344,0.00006037853,0.00005429181,0.0000425447,0.0001881765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9634486,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259451010817056,"score_gpt":0.2121797657254315,"score_spread":0.199585255617261,"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."}}