{"id":"W4409214770","doi":"10.3390/aerospace12040312","title":"Adaptive Incremental Nonlinear Dynamic Inversion Control with Guaranteed Stability for Aerial Manipulators","year":2025,"lang":"en","type":"article","venue":"Aerospace","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Nonlinear system; Inversion (geology); Adaptive control; Stability (learning theory); Computer science; Control engineering; Control (management); Engineering; Artificial intelligence; Geology; Machine learning; Physics","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":[0.0002818223,0.0004792319,0.0002281144,0.0002247328,0.0002344043,0.000317405,0.0005624611,0.0002108919,0.0007803381],"category_scores_gemma":[0.0006282033,0.0001269011,0.0002187379,0.0001303261,0.0004328128,0.0002535549,0.0005965153,0.0004114243,0.000109404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375764,"about_ca_system_score_gemma":0.0003509402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096686,"about_ca_topic_score_gemma":0.001931368,"domain_scores_codex":[0.9998552,0.00002267101,0.000007445375,0.00003058746,0.00006611235,0.00001807468],"domain_scores_gemma":[0.9998227,0.00005985651,0.00005086364,0.00001348935,0.00004511945,0.000007965714],"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":[0.0001590333,0.00006198846,0.0008880348,0.0002861827,0.00005181662,0.000295751,0.0003685496,0.7274774,0.07939375,0.02761252,0.00095263,0.1624522],"study_design_scores_gemma":[0.000009681132,0.0001528532,0.0002279966,0.000007670436,0.000006179006,0.0000331971,0.00001118233,0.9934576,0.00340856,0.00166085,0.001017116,0.000007112413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02563808,0.0001781504,0.9701548,0.00004671449,0.00002650394,0.00002304236,0.000007596316,0.0001760955,0.003749059],"genre_scores_gemma":[0.9629714,0.0001273388,0.03539081,0.00003378413,0.00002420814,0.00005541007,0.00001968755,0.00001484947,0.001362435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002096686,"threshold_uncertainty_score":0.004168987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009596854980663734,"score_gpt":0.2195592925436302,"score_spread":0.2099624375629665,"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."}}