{"id":"W2911470019","doi":"10.1007/978-981-13-2212-9_15","title":"Backstepping-Based Nonlinear RISE Feedback Control for an Underactuated Quadrotor UAV Without Linear Velocity Measurements","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Backstepping; Control theory (sociology); Differentiator; Underactuation; Controller (irrigation); Angular velocity; Nonlinear system; Trajectory; Tracking (education); Computer science; Exponential stability; Control engineering; Engineering; Adaptive control; Robot; Physics; Control (management); 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":[0.0001299199,0.0004648363,0.0003444756,0.0001524457,0.0002452086,0.000398286,0.0005309843,0.0004388545,0.001682556],"category_scores_gemma":[0.0002418844,0.0001461283,0.000235952,0.0001382769,0.0003134604,0.0003057256,0.0004893589,0.0004378629,0.0003037109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296856,"about_ca_system_score_gemma":0.000336795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005500568,"about_ca_topic_score_gemma":0.004037593,"domain_scores_codex":[0.9999307,0.000008735313,0.00000315818,0.00001981718,0.00002906092,0.000008514215],"domain_scores_gemma":[0.9999404,0.00001793639,0.000008135874,0.000007203271,0.00002247154,0.000003834142],"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":[0.0003481019,0.0001210087,0.0004972345,0.000501584,0.00006930935,0.0005266295,0.0003143327,0.6592885,0.1148712,0.01082902,0.004299188,0.2083339],"study_design_scores_gemma":[0.0000127878,0.0001816904,0.0002721302,0.00001051001,0.000008953466,0.00003875328,0.0000175393,0.9927504,0.00444428,0.0008741803,0.001380296,0.000008536892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0730336,0.0007588475,0.907632,0.0002046886,0.0003070213,0.00007507945,0.00007476442,0.0007426925,0.01717136],"genre_scores_gemma":[0.9518006,0.0003728109,0.03408251,0.00008343245,0.00004288162,0.00007269852,0.00007944191,0.00003397551,0.01343173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005500568,"threshold_uncertainty_score":0.01093709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006728834879851,"score_gpt":0.3288814406694213,"score_spread":0.2282085571814362,"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."}}