{"id":"W4402610502","doi":"10.1002/rnc.7627","title":"Nonlinear scenario‐based model predictive control for quadrotors with bidirectional thrust","year":2024,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Nonlinear system; Nonlinear model; Thrust; Model predictive control; Computer science; Control (management); Control engineering; Engineering; Physics; Artificial intelligence; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003325745,0.0004006128,0.0004276486,0.0001546442,0.0002038526,0.0003908639,0.0004900369,0.0003129244,0.001052736],"category_scores_gemma":[0.0005925374,0.000185093,0.0002444579,0.0001969879,0.0003755936,0.0003889461,0.0005899089,0.0004589722,0.0001089102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065285,"about_ca_system_score_gemma":0.0004441898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005016811,"about_ca_topic_score_gemma":0.003130336,"domain_scores_codex":[0.999885,0.0000308033,0.000005189013,0.00002625223,0.00003077503,0.00002199205],"domain_scores_gemma":[0.9997484,0.0001012385,0.0000596007,0.00002435329,0.0000491578,0.00001732391],"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":[0.00002868205,0.000007985603,0.0001538466,0.00001506196,0.000004822164,0.00002394688,0.000008665207,0.9939597,0.0009678443,0.001319394,0.00007796293,0.003432169],"study_design_scores_gemma":[0.000001824826,0.00001481162,0.00005855513,7.91399e-7,6.918265e-7,0.000002327285,0.000002364385,0.9994259,0.0001493741,0.0002782053,0.00006419387,9.588138e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1573322,0.0002702201,0.8361297,0.0001985225,0.0000489886,0.00004906538,0.0001000035,0.0002309125,0.005640361],"genre_scores_gemma":[0.9929945,0.0000393572,0.00647693,0.00001244419,0.000004710658,0.00001828361,0.0000296699,0.000004681284,0.000419355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005016811,"threshold_uncertainty_score":0.009975195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008673413522931488,"score_gpt":0.2328363385134097,"score_spread":0.2241629249904782,"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."}}