{"id":"W2147906538","doi":"10.1109/ical.2009.5262967","title":"Inverse rate-dependent prandtl-ishlinskii model for hysteresis nonlinearities compensation","year":2009,"lang":"en","type":"article","venue":"","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Inverse; Hysteresis; Actuator; Control theory (sociology); Compensation (psychology); Prandtl number; Range (aeronautics); Computer science; Mathematics; Physics; Materials science; Mechanics; Condensed matter physics; Control (management)","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":[0.0004745204,0.0007097918,0.0007055854,0.0003319042,0.0002855653,0.0005196832,0.001854224,0.0009319892,0.001981013],"category_scores_gemma":[0.0007550343,0.0003201148,0.0005671632,0.0002714948,0.0006216641,0.001292271,0.0004751332,0.001250393,0.0006616559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522158,"about_ca_system_score_gemma":0.0007492204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302571,"about_ca_topic_score_gemma":0.001686776,"domain_scores_codex":[0.9997571,0.00003766933,0.00001082396,0.00003969873,0.0001332048,0.00002146295],"domain_scores_gemma":[0.9998176,0.00006009953,0.00002761265,0.0000286488,0.00005718026,0.000008923376],"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":[0.0001642529,0.0001690535,0.0007192261,0.0004543147,0.00005684609,0.0004301992,0.0004837132,0.6483342,0.1105397,0.1489571,0.00252142,0.08716982],"study_design_scores_gemma":[0.000007057232,0.00003740763,0.00006354703,0.000006137467,0.000005390376,0.00006290954,0.000008197203,0.9909435,0.003645661,0.003859883,0.001348515,0.00001184742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00768313,0.0003333526,0.986201,0.0001187656,0.0000663897,0.00005222909,0.00003671566,0.0003192177,0.005189301],"genre_scores_gemma":[0.7636326,0.001214256,0.2091935,0.0001828497,0.00008139793,0.0004877481,0.0001867341,0.0001589772,0.02486197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001981013,"threshold_uncertainty_score":0.006627142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334675314579567,"score_gpt":0.212015524934057,"score_spread":0.1986687717882613,"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."}}