{"id":"W1966106940","doi":"10.1109/tac.2014.2298732","title":"Robust Adaptive Inverse Control of a Class of Nonlinear Systems With Prandtl-Ishlinskii Hysteresis Model","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Inverse; Compensation (psychology); Hysteresis; Nonlinear system; Controller (irrigation); Actuator; Adaptive control; Stability (learning theory); Inverse problem; Mathematics; Computer science; Control (management); Physics; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002838003,0.0003374974,0.0009451014,0.0002642368,0.0000650571,0.00002197925,0.0002164209,0.0001646211,0.00002372818],"category_scores_gemma":[0.00001482527,0.0002793322,0.000211,0.00027743,0.00008394281,0.0001540026,4.925283e-7,0.000219326,0.00001125041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009202395,"about_ca_system_score_gemma":0.0000969074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006031491,"about_ca_topic_score_gemma":0.0000740474,"domain_scores_codex":[0.998157,0.0001177462,0.0007206175,0.0002390076,0.0004059711,0.0003596203],"domain_scores_gemma":[0.9985181,0.000478823,0.0002248754,0.0004535724,0.0001846977,0.0001399222],"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":[0.0003040141,0.0001715582,0.00000673956,0.000226041,0.000651958,0.000001689773,0.0001754298,0.9724756,0.001761289,0.0001011773,0.00003735624,0.02408708],"study_design_scores_gemma":[0.008243237,0.0005657947,0.00001141084,0.0002118422,0.0005381181,0.000007917572,0.00007998461,0.9891389,0.0008934909,0.00001765752,0.00002781949,0.0002638394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03548058,0.00007856827,0.9623351,0.00004151324,0.0001781245,0.0009307922,0.00018463,0.0002738401,0.0004968597],"genre_scores_gemma":[0.9977236,0.000009567461,0.001824004,0.00006141385,0.00003605706,0.0002109032,0.000001226685,0.00006280472,0.00007043346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.962243,"threshold_uncertainty_score":0.9999659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984816744626779,"score_gpt":0.1799268869294539,"score_spread":0.1700787194831861,"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."}}