{"id":"W3075807142","doi":"10.1109/case48305.2020.9217036","title":"Nonlinear Attitude Filter on SO(3): Fast Adaptation and Robustness","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Initialization; Nonlinear system; Computer science; Filter (signal processing); Tracking error; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000204777,0.0002832561,0.0002561417,0.0001384578,0.0001565172,0.0003461368,0.0002232141,0.0003754513,0.001245801],"category_scores_gemma":[0.0006180318,0.00007891468,0.0002686142,0.0002192392,0.0002701058,0.0002939793,0.0002902469,0.0003631425,0.0003786516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698946,"about_ca_system_score_gemma":0.0002327971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986282,"about_ca_topic_score_gemma":0.002380481,"domain_scores_codex":[0.9998636,0.00002259516,0.000006264278,0.00002953277,0.00006470125,0.00001320595],"domain_scores_gemma":[0.9998533,0.00004969478,0.00002341928,0.00001948664,0.00004806575,0.000006111487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004053366,0.00007505017,0.001433531,0.0003185991,0.00008887042,0.0002017473,0.0002422746,0.3152049,0.194353,0.03515564,0.002530553,0.4499905],"study_design_scores_gemma":[0.00001117594,0.0000606672,0.0009646051,0.000009062403,0.00001260748,0.00009779941,0.00001722794,0.9764938,0.01503846,0.003608927,0.003673168,0.00001252205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02996168,0.0002052129,0.9651649,0.00006138319,0.00004475532,0.0000248179,0.00002203919,0.0002221949,0.004292965],"genre_scores_gemma":[0.8563169,0.000611701,0.1335818,0.0001347471,0.00006524121,0.00009198948,0.0001138076,0.00007523014,0.009008684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001986282,"threshold_uncertainty_score":0.004167616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078940514379163,"score_gpt":0.2381271813671621,"score_spread":0.2073377762233705,"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."}}