{"id":"W3198993070","doi":"10.1109/taes.2021.3111785","title":"Path Following Control Design for a Gliding Missile","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Guidance and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Missile; Missile guidance; Control theory (sociology); Inner loop; Engineering; Thrust; Orientation (vector space); Inertial frame of reference; Control system; Path (computing); Loop (graph theory); Controller (irrigation); Computer science; Aerospace engineering; Control (management); Physics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835468,0.0004067103,0.0001872362,0.000171885,0.0003054252,0.0004032491,0.000402998,0.0003181096,0.002067765],"category_scores_gemma":[0.0003204363,0.0001344181,0.0001319661,0.0001240489,0.0002616115,0.0001980263,0.0002654172,0.0004673646,0.0003627247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002754763,"about_ca_system_score_gemma":0.0004678295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096847,"about_ca_topic_score_gemma":0.002052682,"domain_scores_codex":[0.9998906,0.00001539358,0.00000531455,0.00003016024,0.00004322844,0.00001527386],"domain_scores_gemma":[0.9997745,0.00003075763,0.0000490135,0.00001669494,0.0001180111,0.00001111353],"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":[0.0003813224,0.0001150057,0.001260848,0.0003770151,0.00005090534,0.0003210552,0.000393743,0.3322894,0.3677578,0.01407853,0.003771854,0.2792026],"study_design_scores_gemma":[0.00007702869,0.0009276877,0.001299755,0.00002449427,0.00002830049,0.0001942233,0.00004958901,0.9480929,0.03614418,0.001608556,0.01152891,0.00002441209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03986359,0.0002459343,0.9537642,0.0001433094,0.00007148078,0.00009218174,0.00003026886,0.0006354254,0.005153581],"genre_scores_gemma":[0.9225032,0.0001936734,0.07175707,0.00008311404,0.00003515446,0.0001425746,0.00005670177,0.00003174699,0.005196731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002096847,"threshold_uncertainty_score":0.006917417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027895608479979,"score_gpt":0.2056575041683327,"score_spread":0.1953785480835329,"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."}}