{"id":"W4416855434","doi":"10.1139/tcsme-2025-0075","title":"Nonsingular fast terminal sliding mode control for robotic manipulators: a synergistic approach integrating RBFNN and AESO","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; National Natural Science Foundation of China","keywords":"Control theory (sociology); Robustness (evolution); Nonlinear system; Parametric statistics; Noise (video); Convergence (economics); Artificial neural network; Torque","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221947,0.0002263887,0.000380357,0.00009396926,0.0002534851,0.00004449824,0.0002139552,0.0001834486,0.000001201805],"category_scores_gemma":[0.00008337888,0.0002137521,0.0004813734,0.000204452,0.00002979709,0.00008171166,0.000005272782,0.0002622828,1.197479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268583,"about_ca_system_score_gemma":0.0001209794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205026,"about_ca_topic_score_gemma":0.003284251,"domain_scores_codex":[0.998943,0.00001005002,0.0003494337,0.0002086053,0.00009832675,0.0003905515],"domain_scores_gemma":[0.9992752,0.0002295968,0.00003883681,0.0002240481,0.00007890652,0.0001534223],"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":[0.000008708203,0.0000102775,0.000002436034,0.0006807171,0.0004511019,3.241554e-7,0.000169685,0.9697616,0.0143182,0.01344178,0.0000589611,0.001096265],"study_design_scores_gemma":[0.0007237608,0.00002451265,0.000009070161,0.0002179275,0.0002879208,0.000007226083,0.0002251128,0.9966755,0.00115965,0.0001364874,0.0003498442,0.000182983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001975051,0.0002578984,0.996024,0.0001415608,0.0004862824,0.0008686522,0.0001119679,0.0001001282,0.0000344322],"genre_scores_gemma":[0.9512544,0.000002205421,0.04831019,0.0000391698,0.00007532203,0.0001707947,0.000005368006,0.00005327156,0.00008933061],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9492793,"threshold_uncertainty_score":0.8716559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009843064643281142,"score_gpt":0.2121675952564228,"score_spread":0.2023245306131417,"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."}}