{"id":"W4388909802","doi":"10.1016/j.ifacol.2023.10.1446","title":"Linear Quadratic Gaussian Control for UAVs With Improved State Estimation Against Gyroscope and Accelerometer Biases","year":2023,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Kalman filter; Gyroscope; Accelerometer; Linear-quadratic regulator; Inertial measurement unit; Linear-quadratic-Gaussian control; Extended Kalman filter; Trajectory; Computer science; Control moment gyroscope; Engineering; Control (management); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000899605,0.0004357232,0.0003772035,0.0002062171,0.0002219253,0.0004369646,0.0005432182,0.0003202326,0.0004834312],"category_scores_gemma":[0.00152738,0.000189222,0.0002463507,0.0002751623,0.0004443713,0.0004427535,0.0004838666,0.0005049288,0.0001501571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003600717,"about_ca_system_score_gemma":0.0005075681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004771218,"about_ca_topic_score_gemma":0.005352803,"domain_scores_codex":[0.9994329,0.0001241323,0.00002632119,0.0001374314,0.0002066347,0.00007258356],"domain_scores_gemma":[0.999527,0.0001486115,0.0001021487,0.00004082485,0.0001666212,0.00001492919],"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":[0.0004934678,0.0001465059,0.001706438,0.0002790403,0.00006782346,0.0001953948,0.0003454452,0.6908122,0.08318397,0.0113938,0.001684556,0.2096913],"study_design_scores_gemma":[0.00001987785,0.0002631845,0.0007187657,0.000007027321,0.00001151829,0.00002230213,0.00001178672,0.9921523,0.004950734,0.000815544,0.001016334,0.00001056607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03047398,0.0003038882,0.9673437,0.00009726032,0.00005413858,0.00001919627,0.00001235855,0.0003677977,0.001327634],"genre_scores_gemma":[0.9617164,0.000139674,0.03630576,0.00005639529,0.00002941113,0.0000359686,0.0000345312,0.00002081977,0.001660837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004771218,"threshold_uncertainty_score":0.009486914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151632665101873,"score_gpt":0.2532979394006941,"score_spread":0.2317816127496754,"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."}}