{"id":"W2334284027","doi":"10.1109/maes.2014.130034","title":"Robust control of aerial vehicle flight: Simulation and experimental results","year":2014,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Guidance and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Connaught Fund","keywords":"Automation; Aeronautics; Engineering; Air traffic control; Interurban; Aerodynamics; Aviation; Control (management); Control engineering; Systems engineering; Computer science; Aerospace engineering; Transport engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023469,0.0008075086,0.0008466226,0.0006577223,0.0004161238,0.0006111711,0.0006354786,0.001092644,0.003452044],"category_scores_gemma":[0.001867163,0.0002309284,0.0006581418,0.0003505711,0.0005575885,0.0003797196,0.0005277824,0.0006183305,0.0003626003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575101,"about_ca_system_score_gemma":0.0003875297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011056,"about_ca_topic_score_gemma":0.004656354,"domain_scores_codex":[0.9995597,0.0001041333,0.00004112933,0.00005613345,0.0001533603,0.00008556488],"domain_scores_gemma":[0.9978418,0.00121097,0.000237358,0.0001985746,0.0004509339,0.00006037239],"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":[0.0005662896,0.0004190092,0.001284438,0.0004058142,0.00006236443,0.0001834157,0.00009795455,0.9687312,0.01154338,0.0009047474,0.0008964866,0.01490486],"study_design_scores_gemma":[0.00007801579,0.0005011279,0.001265029,0.00001284639,0.00001581127,0.00001950348,0.00004111461,0.9928141,0.004687233,0.0002012433,0.0003511169,0.00001291596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029813,0.001498512,0.07327266,0.0003056025,0.0001786028,0.0002495152,0.0007282607,0.00181904,0.01896648],"genre_scores_gemma":[0.9963371,0.00009494926,0.002594332,0.00001372718,0.000004204455,0.00005567271,0.0001877014,0.00001531366,0.0006970427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011056,"threshold_uncertainty_score":0.02010339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008477072189234103,"score_gpt":0.2055612150770128,"score_spread":0.1970841428877787,"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."}}