{"id":"W4403918761","doi":"10.1109/tie.2024.3481989","title":"VNHC-Based Continuous Sliding Mode Control for an Underactuated Tethered UAV System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underactuation; Control theory (sociology); Sliding mode control; Mode (computer interface); Computer science; Control engineering; Control (management); Engineering; Artificial intelligence; Physics; Nonlinear system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004230948,0.0004071633,0.0005450108,0.000298079,0.0002044611,0.0002051704,0.0002277058,0.0004991143,0.0000224974],"category_scores_gemma":[0.00001633941,0.0004152239,0.000282564,0.0003586767,0.00002478577,0.0002552747,3.346671e-7,0.0009694059,0.00006278171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175952,"about_ca_system_score_gemma":0.000428011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005547663,"about_ca_topic_score_gemma":0.0001455988,"domain_scores_codex":[0.9978689,0.0001438384,0.0005742274,0.0004299643,0.0002785856,0.0007045058],"domain_scores_gemma":[0.9986557,0.0006460847,0.00006000968,0.000346135,0.0001172944,0.0001748097],"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":[0.0005607346,0.00008029622,4.867675e-7,0.00011947,0.0005801507,0.00001105697,0.00007451272,0.9599325,0.02034714,0.0008124639,0.0006216369,0.01685956],"study_design_scores_gemma":[0.003962228,0.0007992904,1.481633e-7,0.0002400743,0.0002801867,0.0000159782,0.0001501269,0.9637896,0.0181007,0.00002883719,0.01222055,0.0004122789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008905265,0.0005094984,0.9829426,0.0001234576,0.003222357,0.001575409,0.0004754309,0.002011832,0.0002340911],"genre_scores_gemma":[0.9981547,0.000009126865,0.000237806,0.00003676331,0.0007647754,0.0003840267,0.00003677683,0.0001906874,0.0001853143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9892495,"threshold_uncertainty_score":0.9998299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715815594745699,"score_gpt":0.2665686071825354,"score_spread":0.2294104512350784,"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."}}