{"id":"W2319004902","doi":"10.2514/6.2012-4916","title":"Investigation, Flight Testing, and Comparison of Three Nonlinear Control Techniques with Application to a Quadrotor Unmanned Aerial Vehicle","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Backstepping; Sliding mode control; Control theory (sociology); Feedback linearization; Control engineering; Controller (irrigation); Nonlinear system; Attitude control; Nonlinear control; Engineering; Computer science; Control system; Linearization; Control (management); Adaptive control; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004009753,0.0002840873,0.0005639613,0.0001059688,0.0001219513,0.00006221629,0.0001614099,0.0001335142,0.000002574288],"category_scores_gemma":[0.0001283125,0.0002573395,0.00002687474,0.0002961363,0.0001969653,0.0003312107,0.00001954993,0.0001524119,0.000006502284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004370238,"about_ca_system_score_gemma":0.00006791358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444302,"about_ca_topic_score_gemma":0.000115575,"domain_scores_codex":[0.9984522,0.00007071032,0.0006279811,0.0002826644,0.000241144,0.0003252247],"domain_scores_gemma":[0.9983757,0.0002471401,0.0002362487,0.000283555,0.0006415853,0.0002157953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003042454,0.00005835954,0.7045844,0.0002337771,0.000170261,6.224526e-7,0.0007574951,0.000466325,0.2756587,0.004283669,0.0001722729,0.01330991],"study_design_scores_gemma":[0.007174264,0.0008461644,0.4207812,0.0009346813,0.0002951174,0.00001586696,0.0002450096,0.5230671,0.03726246,0.0009941896,0.007396773,0.0009871456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.642094,0.0009604058,0.3542854,0.0002268364,0.00009996235,0.00171772,0.00005747756,0.0002584363,0.0002997628],"genre_scores_gemma":[0.990449,0.000005270843,0.008573957,0.0001219481,0.0003178267,0.0004653486,0.00001556772,0.00003789281,0.00001318559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5226008,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013714754368824,"score_gpt":0.2456052712801912,"score_spread":0.225468123736503,"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."}}