{"id":"W2243792603","doi":"10.1109/taes.2015.140670","title":"Attitude tracking of a rigid spacecraft using two internal torques","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Control theory (sociology); Attitude control; Control moment gyroscope; Gimbal; Spacecraft; Torque; Trajectory; Tracking error; Actuator; Angular momentum; Underactuation; Moment (physics); Reaction wheel; Bounded function; Angular velocity; Tracking (education); Computer science; Engineering; Mathematics; Physics; Control engineering; Control (management); Aerospace engineering; Classical mechanics; Mathematical analysis","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":[0.00018732,0.0001504959,0.0002261799,0.00009782983,0.0000453631,0.00005824779,0.00007150883,0.00006473329,0.00001110233],"category_scores_gemma":[0.000002310097,0.000150786,0.00005145862,0.0001322649,0.00003303072,0.0001021913,7.005052e-7,0.000221394,0.000004254006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630186,"about_ca_system_score_gemma":0.00004953854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006945057,"about_ca_topic_score_gemma":0.000464237,"domain_scores_codex":[0.9991571,0.00002834216,0.000221221,0.0001448588,0.000170112,0.0002784242],"domain_scores_gemma":[0.9996215,0.00003125193,0.00004932194,0.0001377754,0.00006090017,0.00009927545],"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":[0.00004778342,0.0000629606,0.0002975863,0.0002217573,0.0001878976,0.000003851759,0.001699671,0.9604691,0.03194878,0.0009297598,0.0001023428,0.004028539],"study_design_scores_gemma":[0.001349129,0.0003864406,0.00008569373,0.0002820428,0.00009716797,0.000137065,0.0009527818,0.986324,0.008232673,0.00005684858,0.001727932,0.0003682598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5821348,0.0009429357,0.4158016,0.00002169206,0.0004748554,0.0001386138,0.000005194643,0.00008182395,0.0003984848],"genre_scores_gemma":[0.999029,0.0001564442,0.0003476109,0.000007887676,0.00005349951,0.00001223885,5.474054e-7,0.0000285919,0.0003641466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4168943,"threshold_uncertainty_score":0.6148873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226535016724252,"score_gpt":0.2534502903551931,"score_spread":0.2307967886827679,"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."}}