{"id":"W2627022647","doi":"10.1002/acs.2790","title":"Robust adaptive output‐feedback control for a class of nonlinear systems with hysteresis compensation controller","year":2017,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Initialization; Hysteresis; Norm (philosophy); Bounded function; Adaptive control; Observer (physics); Tracking error; Controller (irrigation); Robustness (evolution); Robust control; Compensation (psychology); Mathematics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579038,0.0002510925,0.0007225641,0.0001902742,0.0001780948,0.0002776945,0.0004063108,0.0001001493,0.000003240825],"category_scores_gemma":[0.00008289811,0.0001870269,0.000155684,0.00003598574,0.0001377825,0.0006658877,0.0000143392,0.0002303847,5.967386e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005483,"about_ca_system_score_gemma":0.0001296686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002272252,"about_ca_topic_score_gemma":0.000008076038,"domain_scores_codex":[0.9983332,0.00004833948,0.0006989464,0.0001699178,0.0005101916,0.000239439],"domain_scores_gemma":[0.9963819,0.0002862922,0.001103924,0.00008914594,0.002021289,0.0001174889],"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":[0.02582231,0.0003518276,0.003229022,0.0002584164,0.007047255,0.0001144783,0.0007703802,0.2864164,0.01056702,0.002248881,0.0002893909,0.6628846],"study_design_scores_gemma":[0.01521981,0.0008116752,0.001940483,0.0004948102,0.0002791454,0.00007957358,0.0002688062,0.9800621,0.0001136664,0.000261953,0.0002533897,0.0002146063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0295548,0.002177153,0.9667978,0.0002769741,0.0002443955,0.0004546577,0.0001219251,0.00001866478,0.0003536534],"genre_scores_gemma":[0.9974741,0.00002956114,0.001686181,0.0000737166,0.0006414992,0.00002357682,0.000001989759,0.00003247839,0.00003688269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9679193,"threshold_uncertainty_score":0.7626736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106992058934018,"score_gpt":0.2245459674787375,"score_spread":0.2034760468893974,"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."}}