{"id":"W2895515482","doi":"10.2514/1.g003812","title":"Rotation-Matrix-Based Attitude Tracking for Multiple Flexible Spacecraft with Actuator Faults","year":2018,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Actuator; Spacecraft; Rotation (mathematics); Control theory (sociology); Tracking (education); Attitude control; Rotation matrix; Computer science; Matrix (chemical analysis); Aerospace engineering; Physics; Engineering; Computer vision; Artificial intelligence; Control (management); Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.000350692,0.0001931379,0.0004215545,0.0001195178,0.00009305422,0.00005482649,0.0001353663,0.00008022879,0.000002566091],"category_scores_gemma":[0.0002130387,0.0001509572,0.0001026561,0.00009217621,0.00007223134,0.0002850685,0.00000493776,0.0001427136,0.000002325106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013041,"about_ca_system_score_gemma":0.00008359691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004605846,"about_ca_topic_score_gemma":0.0002573694,"domain_scores_codex":[0.9989288,0.00002398424,0.0004629539,0.000122417,0.0002133622,0.0002484626],"domain_scores_gemma":[0.9984157,0.0003725719,0.0002915516,0.0001264956,0.0006684744,0.000125195],"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":[0.0121653,0.0004394526,0.1686,0.001317779,0.002724195,0.0002405638,0.001119928,0.684984,0.07132607,0.001846632,0.001897119,0.05333897],"study_design_scores_gemma":[0.006992959,0.0006226646,0.007812889,0.0002243739,0.00008748627,0.00005355971,0.00009476967,0.9818379,0.0002082636,0.00004455633,0.001823681,0.0001968459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1741027,0.0007027868,0.8240806,0.0002867969,0.0003358183,0.0003261284,0.00005743991,0.00005202401,0.00005576056],"genre_scores_gemma":[0.9652904,0.0000105861,0.03376752,0.00007586757,0.0007314966,0.00001268674,0.000003095585,0.00004393618,0.0000644478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7911877,"threshold_uncertainty_score":0.6155854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008757810268450171,"score_gpt":0.2479519185689165,"score_spread":0.2391941083004663,"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."}}