{"id":"W2004294785","doi":"10.1016/j.sna.2013.03.005","title":"Motion control of piezoceramic actuators with creep, hysteresis and vibration compensation","year":2013,"lang":"en","type":"article","venue":"Sensors and Actuators A Physical","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality; Concordia University; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Control theory (sociology); Hysteresis; Actuator; Vibration; Compensation (psychology); Creep; Nonlinear system; Vibration control; Inverse; Controller (irrigation); Compensation methods; Band-stop filter; Bandwidth (computing); Computer science; Materials science; Acoustics; Physics; Control (management); Low-pass filter; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00005144161,0.0002352973,0.0003761176,0.00009445071,0.00007171186,0.00006660981,0.00005328084,0.00007814495,0.00001943454],"category_scores_gemma":[0.00001540435,0.0001825877,0.00004833096,0.0001464833,0.00008866276,0.0003431427,0.00001051159,0.0001373768,0.000007972246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002705426,"about_ca_system_score_gemma":0.00001101263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007393154,"about_ca_topic_score_gemma":0.000005988388,"domain_scores_codex":[0.9990942,0.00003472338,0.0002160381,0.0002212246,0.0001941887,0.0002396335],"domain_scores_gemma":[0.9994535,0.0001275669,0.00007962511,0.0001479991,0.0000655908,0.0001257108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001082078,0.0001540178,0.005306064,0.0001646587,0.000284281,0.000002929954,0.001435166,0.0009463155,0.02017844,0.003721201,0.0001960786,0.9675027],"study_design_scores_gemma":[0.001460672,0.0002599474,0.01688817,0.00003362647,0.0001001714,0.000009669619,0.0001827098,0.9764363,0.002948525,0.00131902,0.00004940272,0.0003118261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9082613,0.00005004133,0.09096514,0.00008914695,0.00002975881,0.0003607782,0.000009649898,0.00008993632,0.000144275],"genre_scores_gemma":[0.9995371,0.00002662183,0.0002019762,0.0000495627,0.0001072385,0.00002627366,0.000008197914,0.00003362436,0.00000944236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.97549,"threshold_uncertainty_score":0.7445711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002473251008928192,"score_gpt":0.1597761487406447,"score_spread":0.1573028977317165,"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."}}