{"id":"W4249391421","doi":"10.22215/etd/2018-13337","title":"Navigation and Control of Flexible Wing UAV Using Vision System","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Autopilot; Wing; Deflection (physics); Adaptive neuro fuzzy inference system; Engineering; Fuzzy logic; Artificial intelligence; Angle of attack; Artificial neural network; Control system; Computer vision; Control theory (sociology); Computer science; Fuzzy control system; Control engineering; Aerodynamics; Aerospace engineering; Control (management)","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":[0.0001962241,0.0002394599,0.0004894755,0.000149016,0.00004677297,0.00003339146,0.00008222197,0.000270541,0.00001478059],"category_scores_gemma":[0.00001192897,0.000232085,0.00007082168,0.00009889289,0.00001829549,0.0001564444,0.000006527105,0.000123929,0.00001479294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136821,"about_ca_system_score_gemma":0.00002584969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007652718,"about_ca_topic_score_gemma":0.00001326203,"domain_scores_codex":[0.9988983,0.00003053857,0.0004794115,0.0002014913,0.0002237844,0.0001664287],"domain_scores_gemma":[0.9993083,0.00005002647,0.0001808406,0.0001836643,0.000223032,0.00005414668],"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":[0.0006218182,0.00006859668,0.0007984231,0.02115186,0.001949547,0.00004241048,0.004912301,0.01522509,0.9260368,0.003788134,0.000851974,0.02455301],"study_design_scores_gemma":[0.001260086,0.0001265892,0.001437759,0.004535696,0.0002700067,0.00002167659,0.004024889,0.9739705,0.01316159,0.00001105946,0.0006869506,0.0004931861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448925,0.003259978,0.1351642,0.00000158569,0.002515105,0.0007731701,0.00003950187,0.0004678313,0.01288606],"genre_scores_gemma":[0.9966591,0.000004723483,0.00180294,0.000001709267,0.0003738454,0.0000102412,0.0001221525,0.00007661035,0.0009486678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9587454,"threshold_uncertainty_score":0.9464152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069071596423142,"score_gpt":0.2596271813733788,"score_spread":0.2489364654091474,"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."}}