{"id":"W4414873042","doi":"10.3390/machines13100915","title":"Adaptive Backstepping Control of an Unmanned Aerial Manipulator","year":2025,"lang":"en","type":"article","venue":"Machines","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Backstepping; Control theory (sociology); Parametric statistics; Adaptive control; Robot manipulator; Inertial frame of reference; Manipulator (device); Constant (computer programming)","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":[0.0002080903,0.0004950213,0.0002221512,0.0001598587,0.000188122,0.0003517096,0.0005090427,0.0003905901,0.0008928746],"category_scores_gemma":[0.0004292993,0.000124979,0.0002009839,0.0001584763,0.0004139943,0.0002028188,0.0003223382,0.0003683654,0.0001615366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897006,"about_ca_system_score_gemma":0.0003257195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003266977,"about_ca_topic_score_gemma":0.002104249,"domain_scores_codex":[0.9998467,0.00002594244,0.000006969945,0.00003910335,0.00006598229,0.00001527966],"domain_scores_gemma":[0.999866,0.00003940025,0.00003080049,0.00001179298,0.00004275515,0.000009189362],"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":[0.0001525049,0.00005778648,0.0004749528,0.0002183936,0.000058854,0.0005339534,0.0002121993,0.8063622,0.07348476,0.01022334,0.00099857,0.1072224],"study_design_scores_gemma":[0.00001523331,0.0001772437,0.0001835233,0.000005999029,0.000005192945,0.00003268994,0.000008026715,0.9945917,0.003239389,0.0005731857,0.00116242,0.000005336196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05388315,0.0003593169,0.9399979,0.0001014962,0.00009780919,0.00004508739,0.00001989688,0.0002981811,0.005197125],"genre_scores_gemma":[0.9622059,0.0001748123,0.03398069,0.00004691134,0.00003174703,0.0000592956,0.00002033341,0.000009485061,0.003470876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003266977,"threshold_uncertainty_score":0.006495953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009106830081942349,"score_gpt":0.2344976417364643,"score_spread":0.2253908116545219,"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."}}