{"id":"W2048160794","doi":"10.1109/cdc.2014.7040164","title":"Multiple-model control for spacecraft under actuation sign errors","year":2014,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Spacecraft; Actuator; Sign (mathematics); Attitude control; Computer science; Control (management); Control engineering; Control system; Scheme (mathematics); Fault (geology); Tracking (education); Tracking error; Stability (learning theory); Engineering; Mathematics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002486946,0.0001596316,0.0002305963,0.00005899296,0.00003967186,0.00002236344,0.0000968791,0.00009515438,0.00001630968],"category_scores_gemma":[0.0001491228,0.0001430801,0.00008785739,0.00003896744,0.00001494566,0.000126744,0.000006175223,0.00006824404,0.00007702881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006556084,"about_ca_system_score_gemma":0.00001368228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000874889,"about_ca_topic_score_gemma":0.0001178768,"domain_scores_codex":[0.9992512,0.0000186158,0.000212298,0.000153609,0.0001222493,0.0002419676],"domain_scores_gemma":[0.9992272,0.0003906209,0.00003517394,0.0001876514,0.00008267649,0.00007673091],"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":[0.00003152348,0.0000121135,0.00009583569,0.00002142348,0.00006877669,1.119173e-7,0.00005955796,0.962584,0.02850958,0.003400902,0.002335372,0.002880862],"study_design_scores_gemma":[0.002340907,0.00003882204,0.0002952819,0.000009804188,0.00001826188,6.224028e-7,0.00004754064,0.9917359,0.0006540503,0.0004885375,0.004189274,0.000180998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006201989,0.00004261457,0.9896776,0.0003367072,0.0002455038,0.0005842185,0.00001501371,0.0004081114,0.002488262],"genre_scores_gemma":[0.9855132,0.000001572486,0.01284185,0.0002204616,0.0002694646,0.00008886994,0.00001078028,0.00005572803,0.0009980383],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9793112,"threshold_uncertainty_score":0.5834638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016719767681351,"score_gpt":0.2376443893545958,"score_spread":0.2174771916777822,"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."}}