{"id":"W4234772345","doi":"10.1109/cacsd-cca-isic.2006.4776945","title":"Adaptive control for the systems with Prandtl-Ishlinskii hysteresis","year":2006,"lang":"en","type":"article","venue":"","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hysteresis; Control theory (sociology); Controller (irrigation); Actuator; Tracking (education); Tracking error; Computer science; Sliding mode control; Function (biology); Prandtl number; Control system; Nonlinear system; Control (management); Engineering; Physics; 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":[0.0003794768,0.0003823559,0.0004162885,0.0001982734,0.0002371143,0.0004521103,0.0005895708,0.0003966916,0.0009565181],"category_scores_gemma":[0.0009745121,0.0001611572,0.00032392,0.0002056865,0.0005798322,0.0003931395,0.0004223037,0.0006098612,0.0001170196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046506,"about_ca_system_score_gemma":0.0004031674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490484,"about_ca_topic_score_gemma":0.00197977,"domain_scores_codex":[0.999798,0.00004224118,0.00001181276,0.00005508033,0.00006853662,0.00002431038],"domain_scores_gemma":[0.9997413,0.0001281816,0.00006432096,0.00002123612,0.00003922045,0.000005784841],"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":[0.000167687,0.00006752965,0.0006695868,0.0002971421,0.00005962529,0.0003055437,0.0003603709,0.8233935,0.04117502,0.04817964,0.0008817637,0.08444256],"study_design_scores_gemma":[0.00001557006,0.00008700972,0.0002614922,0.000006373339,0.000007676029,0.0000374288,0.0000113711,0.9935498,0.001770168,0.003483994,0.0007622039,0.000006973564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04799009,0.00089669,0.946536,0.0002439878,0.000049023,0.00004133594,0.00002686582,0.0002908057,0.003925235],"genre_scores_gemma":[0.9781335,0.0004294222,0.01922621,0.00004241868,0.00002942886,0.00007554983,0.00002261186,0.00001195622,0.002028842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002490484,"threshold_uncertainty_score":0.004951954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003706188888283999,"score_gpt":0.1516584686721052,"score_spread":0.1479522797838212,"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."}}