{"id":"W4417476104","doi":"10.1088/1361-665x/ae2f0c","title":"Adaptive neural network control for magnetic shape memory alloy actuator via improved Volterra model considering input saturation","year":2025,"lang":"","type":"article","venue":"Smart Materials and Structures","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Hyperbolic function; Artificial neural network; Hysteresis; Controller (irrigation); Actuator; Saturation (graph theory); Nonlinear system; Lyapunov function","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":[0.0003571679,0.0005862952,0.0005483765,0.0002040827,0.000294773,0.0004901843,0.0007451948,0.0007390128,0.001011092],"category_scores_gemma":[0.0004136708,0.0002000276,0.0004176921,0.0001815891,0.0003741172,0.0004046061,0.0003594021,0.0005357392,0.0001470624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541652,"about_ca_system_score_gemma":0.0004578162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007266426,"about_ca_topic_score_gemma":0.004916938,"domain_scores_codex":[0.9998506,0.00003759522,0.000008801482,0.00003215665,0.00005106337,0.00001976543],"domain_scores_gemma":[0.9998854,0.0000412614,0.00002046961,0.000007987193,0.00003995464,0.000004898723],"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":[0.00007047193,0.000041588,0.0002900425,0.00007726715,0.00002890023,0.00008342795,0.00005968431,0.9628883,0.01276646,0.003963974,0.0002593864,0.01947048],"study_design_scores_gemma":[0.000001999255,0.00001482264,0.00003194065,0.000001428529,0.000001921204,0.000003130373,0.000001414743,0.9995006,0.0002708123,0.000114033,0.00005646122,0.000001337589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1124139,0.001120058,0.8737024,0.0004036101,0.0001592008,0.00006468478,0.00003479964,0.0004176995,0.01168356],"genre_scores_gemma":[0.9859834,0.0001784704,0.01099971,0.00004278472,0.00001577799,0.00005716303,0.00001396955,0.000008544207,0.00270026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007266426,"threshold_uncertainty_score":0.01444829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006518519816529999,"score_gpt":0.2018147181817126,"score_spread":0.1952961983651826,"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."}}