{"id":"W1959127832","doi":"10.23919/ecc.2013.6669761","title":"A novel adaptive unscented Kalman filter attitude estimation and control systems for 3U nanosatellite","year":2013,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Control theory (sociology); Kalman filter; Gyroscope; Attitude control; Extended Kalman filter; Euler angles; Quaternion; Computer science; Angular velocity; Linearization; Convergence (economics); Feedback linearization; Nonlinear system; Engineering; Control engineering; Mathematics; Physics; Control (management); Aerospace engineering; 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":[0.00003949233,0.00008926027,0.000105547,0.00003149234,0.0000348748,0.00004496999,0.00002624769,0.00005408328,0.00001615268],"category_scores_gemma":[0.000009396002,0.00007523214,0.00002195933,0.00003949811,0.00001019214,0.0001669088,0.000003100267,0.00003522179,0.00003220454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002614819,"about_ca_system_score_gemma":0.000001977535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002560801,"about_ca_topic_score_gemma":0.00001033936,"domain_scores_codex":[0.9995732,0.000005938086,0.0001417299,0.00008895073,0.00005849764,0.0001316857],"domain_scores_gemma":[0.9997661,0.00004608797,0.00001771896,0.00006199376,0.00006746362,0.00004060006],"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":[0.00009564731,0.00006784697,0.0004154171,0.000454825,0.0002382429,0.000001031436,0.0005345948,0.2447846,0.7254068,0.008846682,0.003681843,0.01547252],"study_design_scores_gemma":[0.0008130509,0.00003840332,0.002030705,0.00003314123,0.00001647444,0.000003018886,0.00002673699,0.9903107,0.006191902,0.00004283464,0.0003873736,0.0001056715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1454078,0.0002680344,0.8517467,0.00006530516,0.0002636901,0.001075767,0.00002524314,0.000219149,0.0009283298],"genre_scores_gemma":[0.9968325,0.0000109503,0.002691175,0.00003973763,0.00006132472,0.00009972331,0.00002886119,0.00001582011,0.0002199365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8514247,"threshold_uncertainty_score":0.3067878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201573458249454,"score_gpt":0.2103692016925031,"score_spread":0.1983534671100086,"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."}}