{"id":"W4398222327","doi":"10.1007/s11071-024-09693-7","title":"Fractional-order super-twisting sliding mode attitude control for elastic refueling boom with exogenous disturbances","year":2024,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Aerospace Engineering and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Aeronautical Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Boom; Control theory (sociology); Order (exchange); Mode (computer interface); Sliding mode control; Control (management); Structural engineering; Computer science; Engineering; Economics; Physics; Nonlinear system; Finance; Artificial intelligence","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":[0.0002434182,0.00044739,0.0005434101,0.0002124263,0.0004456468,0.0004468675,0.0004152709,0.0003317141,0.001205141],"category_scores_gemma":[0.0003532438,0.0001419907,0.0003604434,0.0002152973,0.0003995963,0.0003489882,0.0004071735,0.0003601623,0.00008755917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468814,"about_ca_system_score_gemma":0.0002594361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003699828,"about_ca_topic_score_gemma":0.002994974,"domain_scores_codex":[0.9999106,0.0000133212,0.000005395118,0.00002009172,0.00002448508,0.00002623876],"domain_scores_gemma":[0.9998734,0.00003316975,0.00002714403,0.00001547322,0.00004012021,0.00001057947],"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":[0.0007539658,0.00009387994,0.001300556,0.0003484785,0.00009118093,0.0004531772,0.0002976106,0.8175614,0.06864765,0.01473279,0.001207351,0.09451196],"study_design_scores_gemma":[0.000006769415,0.00009952487,0.0003117608,0.000003589843,0.00000722676,0.00001344324,0.00001059096,0.9973212,0.001189329,0.0007872799,0.0002450555,0.000004208106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2401049,0.0004444368,0.7506431,0.0001577876,0.0002511716,0.00002623695,0.00003623795,0.0002139227,0.008122275],"genre_scores_gemma":[0.9952797,0.00007566865,0.003562586,0.00001331151,0.00001384795,0.00000850074,0.00001301098,0.000003728525,0.001029635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003699828,"threshold_uncertainty_score":0.007356584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005367800518172754,"score_gpt":0.2162783118203346,"score_spread":0.2109105113021618,"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."}}