{"id":"W1757494804","doi":"","title":"Compensation of a piezoceramic actuator hysteresis nonlinearities using the stop operator-based Prandtl-Ishlinskii model","year":2010,"lang":"en","type":"article","venue":"","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Hysteresis; Feed forward; Actuator; Nonlinear system; Prandtl number; Compensation (psychology); Operator (biology); Computer science; Physics; Engineering; Control engineering; Mechanics; Control (management); Convection; Artificial intelligence","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":[0.0002330721,0.0004535991,0.0002852673,0.0002042756,0.0002222264,0.0003096381,0.0007096542,0.0003523598,0.001062594],"category_scores_gemma":[0.0005571468,0.0001540988,0.0002962275,0.0001232598,0.000371776,0.0005905596,0.0003087967,0.0005087844,0.0002150919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125995,"about_ca_system_score_gemma":0.0005040498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005158,"about_ca_topic_score_gemma":0.001763476,"domain_scores_codex":[0.9998466,0.0000198988,0.000007032111,0.00002486874,0.00008904163,0.00001251131],"domain_scores_gemma":[0.9998199,0.00006117443,0.00003562836,0.00003121339,0.00004343754,0.000008625789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004140286,0.0001583391,0.002272839,0.0004260043,0.00008230912,0.0005094138,0.0006593363,0.3027017,0.5505827,0.03444931,0.001066517,0.1066774],"study_design_scores_gemma":[0.00002834942,0.0003503026,0.0007663689,0.00001062877,0.00002483286,0.0002093099,0.00004391162,0.9509603,0.04267459,0.002657856,0.00225548,0.0000180887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1107657,0.0002160355,0.882356,0.000131135,0.00005130128,0.0000576367,0.00003192574,0.0006317925,0.005758434],"genre_scores_gemma":[0.9522018,0.0001523164,0.04407847,0.00003522894,0.00001379221,0.0000697949,0.00004091503,0.00002982582,0.003377719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001062594,"threshold_uncertainty_score":0.003554761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102357863533805,"score_gpt":0.217986671323899,"score_spread":0.206963092688561,"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."}}