{"id":"W2024405859","doi":"10.2514/6.2012-2428","title":"Real Time Fault Tolerant Nonlinear Attitude Control System for Nanosatellite Applications","year":2012,"lang":"en","type":"article","venue":"Infotech@Aerospace 2012","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Attitude control; Computer science; Nonlinear system; Fault tolerance; Control (management); Control theory (sociology); Control system; Control engineering; Engineering; Distributed computing; Electrical engineering; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002272677,0.0002241758,0.0002684758,0.00006115594,0.0001279116,0.00004152621,0.0001498308,0.0002328701,0.0000277091],"category_scores_gemma":[0.00001042872,0.000216435,0.0001110745,0.0001611602,0.00002922225,0.0003777031,0.00001436164,0.0001494367,0.0009055128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537936,"about_ca_system_score_gemma":0.00001135568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000498512,"about_ca_topic_score_gemma":0.000005318027,"domain_scores_codex":[0.9988137,0.0000181702,0.0003151385,0.0001459698,0.0001773587,0.0005296934],"domain_scores_gemma":[0.9992456,0.00008696786,0.00006753855,0.0003242171,0.0001008387,0.0001748193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001605148,0.0001922533,0.001128325,0.0009458202,0.000313507,0.000002110196,0.0009545144,0.03849223,0.927746,0.007721227,0.008387098,0.01395643],"study_design_scores_gemma":[0.003582345,0.0001307081,0.00403761,0.0002008321,0.0003021838,0.00004105852,0.0001382336,0.2150389,0.1842208,0.00003221964,0.5908045,0.001470598],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3762096,0.00365701,0.5732652,0.0004629789,0.003186949,0.007969061,0.001231448,0.006349007,0.02766874],"genre_scores_gemma":[0.9898192,0.00005038932,0.007496114,0.00003808466,0.001240057,0.0004157304,0.0001338602,0.00007929555,0.0007272812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7435252,"threshold_uncertainty_score":0.9998724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005977076003342122,"score_gpt":0.2205551714064909,"score_spread":0.2145780954031488,"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."}}