{"id":"W4395455038","doi":"10.2514/1.g007917","title":"Full-Envelope Flight Control for Compound Vertical Takeoff and Landing Aircraft","year":2024,"lang":"en","type":"article","venue":"Journal of Guidance Control and Dynamics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"Safran","keywords":"Takeoff; Flight envelope; Takeoff and landing; Aircraft flight mechanics; Envelope (radar); Controllability; Aerospace engineering; Fly-by-wire; Controller (irrigation); Airspeed; Engineering; Flight control surfaces; Work (physics); Inner loop; Fixed wing; Wing; Control theory (sociology); Computer science; Control (management); Aerodynamics; Flight simulator; Artificial intelligence; Mechanical engineering","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":[0.0005723216,0.0002188226,0.000578494,0.000138779,0.00007445191,0.0001827557,0.0001158229,0.0001146655,0.000002790945],"category_scores_gemma":[0.0001367512,0.0001749674,0.0001324645,0.00007699028,0.00007333458,0.0002827992,0.00001283654,0.0002724337,0.000002719061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351485,"about_ca_system_score_gemma":0.00005179474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001944222,"about_ca_topic_score_gemma":0.00002913429,"domain_scores_codex":[0.99871,0.00003753369,0.0006150128,0.0001562004,0.0001903975,0.0002909004],"domain_scores_gemma":[0.9988761,0.0006090768,0.00006808132,0.0000927833,0.0001762954,0.0001776649],"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":[0.01954438,0.0006284331,0.06712054,0.01123085,0.0195068,0.00528891,0.003409119,0.1417047,0.2799778,0.1905396,0.03898671,0.2220622],"study_design_scores_gemma":[0.00384286,0.0003220487,0.002448118,0.0003101308,0.0001891066,0.0004864768,0.00004915328,0.9757504,0.000008662703,0.0004318353,0.01595531,0.0002059406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06223726,0.02375212,0.9103731,0.001550014,0.001343917,0.0003184028,0.0001050545,0.00008303393,0.0002370929],"genre_scores_gemma":[0.9966611,0.000226179,0.00203875,0.0001167186,0.0008259089,0.000009937148,0.000002394358,0.00004491417,0.00007415371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9344238,"threshold_uncertainty_score":0.7134961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008110911781632417,"score_gpt":0.2284004230540024,"score_spread":0.22028951127237,"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."}}