{"id":"W2025312640","doi":"10.1117/12.915369","title":"Self-sensing tracking control for piezoelectric actuators based on sensor fusion","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Charge control; Position (finance); Actuator; Feed forward; Control theory (sociology); Computer science; Controller (irrigation); Capacitance; Voltage; Tracking (education); Electronic engineering; Position sensor; Sensor fusion; Engineering; Control engineering; Control (management); Electrical engineering; Artificial intelligence; Physics; Rotor (electric)","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":[0.0002363169,0.0002014272,0.0001976362,0.0002167,0.000202482,0.0002590012,0.0004049958,0.0002547547,0.0005904641],"category_scores_gemma":[0.0004497157,0.0001220491,0.000187054,0.0001658307,0.0002266419,0.0003911238,0.0003004797,0.0002164933,0.0001042026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716021,"about_ca_system_score_gemma":0.0001799079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004957353,"about_ca_topic_score_gemma":0.0005817425,"domain_scores_codex":[0.9998389,0.00001330599,0.00001057616,0.0000315918,0.0000928078,0.00001269517],"domain_scores_gemma":[0.9997981,0.00007213819,0.0000494857,0.00001992252,0.00005299718,0.000007305458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002731523,0.0001623594,0.000864866,0.0002409615,0.0000334814,0.0001751339,0.0002555309,0.04272622,0.7229867,0.005917579,0.0009154982,0.2254486],"study_design_scores_gemma":[0.00003426393,0.0004489009,0.001840866,0.00001904107,0.00002060549,0.0002179123,0.00002308903,0.7775055,0.2150143,0.001415842,0.003427669,0.00003203834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1627495,0.0007863357,0.8325287,0.0001202431,0.000162538,0.00006427382,0.00002394935,0.0005952807,0.002969233],"genre_scores_gemma":[0.9430844,0.0002718906,0.05448217,0.00005340905,0.00003063177,0.00005117211,0.00002329613,0.00001443458,0.001988641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005904641,"threshold_uncertainty_score":0.001975358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00743315755330675,"score_gpt":0.2059120045084855,"score_spread":0.1984788469551788,"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."}}