{"id":"W2519297144","doi":"10.1109/tcst.2016.2604739","title":"Optimal Hybrid Magnetic Attitude Control: Disturbance Accommodation and Impulse Timing","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Impulse (physics); Optimal control; Attitude control; Mathematics; Limiting; Quadratic equation; Torque; Linear-quadratic regulator; Computer science; Engineering; Mathematical optimization; Control (management); Control engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001389829,0.0002902648,0.000452832,0.0003449366,0.0001340383,0.00005443431,0.0002072563,0.0002204063,0.00001801029],"category_scores_gemma":[0.000008991796,0.0002350106,0.00008142468,0.000132293,0.0001198817,0.0001543626,0.000001356803,0.0002495093,0.00004825609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383166,"about_ca_system_score_gemma":0.0000149391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000023693,"about_ca_topic_score_gemma":0.00004902079,"domain_scores_codex":[0.9986684,0.00003863018,0.0003714894,0.0003477621,0.0001437891,0.0004299743],"domain_scores_gemma":[0.9991797,0.0001716377,0.00006406056,0.0004310931,0.00006501352,0.00008846718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000435963,0.0002112996,0.001409346,0.0002076178,0.0008986045,0.00009080567,0.00006669703,0.3168232,0.4190256,0.00244274,0.0002165598,0.2581715],"study_design_scores_gemma":[0.007341824,0.0003466661,0.0004398972,0.0001711488,0.0001674061,0.0001695583,0.00004072042,0.9874986,0.001758781,0.0001208432,0.00144831,0.0004962884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.109073,0.001228852,0.8861437,0.001036708,0.000810442,0.0006248757,0.0001405947,0.0008575181,0.00008423079],"genre_scores_gemma":[0.998843,0.000143052,0.0001547573,0.00004019429,0.00006179325,0.0004831382,8.230189e-7,0.00005712597,0.000216075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.88977,"threshold_uncertainty_score":0.9583454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004226670499120171,"score_gpt":0.1882635693606547,"score_spread":0.1840368988615345,"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."}}