{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390054,0.0001785596,0.0003752836,0.0001293694,0.00003481275,0.00001805292,0.0001895867,0.00008005446,0.00004806446],"category_scores_gemma":[0.00004215776,0.0001673191,0.00007988761,0.0001460379,0.00003293702,0.0001285902,0.00002303856,0.0001032891,0.00002699352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004180836,"about_ca_system_score_gemma":0.00001942032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007282132,"about_ca_topic_score_gemma":0.00007795815,"domain_scores_codex":[0.9991499,0.00005944074,0.0003246124,0.0001602713,0.0001144233,0.0001914112],"domain_scores_gemma":[0.9994979,0.00008003669,0.00005009384,0.0002484602,0.00007324688,0.00005026509],"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":[0.002871807,0.0005107239,0.01558156,0.001429374,0.003708871,0.0001227518,0.001429651,0.5024022,0.3277691,0.05469187,0.006525489,0.08295665],"study_design_scores_gemma":[0.002279841,0.00009684532,0.005901819,0.0001052,0.0000609675,0.000003104894,0.00007663108,0.9860856,0.001442261,0.0002593881,0.003465797,0.0002225819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6620711,0.002944272,0.2913383,0.0001614703,0.005161935,0.001307989,0.0002350855,0.001022732,0.03575709],"genre_scores_gemma":[0.9980116,0.000002251129,0.001008467,0.00004863246,0.0003387765,0.00001798027,0.000007062803,0.00002906983,0.0005360855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4836834,"threshold_uncertainty_score":0.6823074,"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."}}