{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003576633,0.0003451866,0.0004450232,0.0002146418,0.0002599494,0.0004492413,0.0004543891,0.0003876973,0.0009141868],"category_scores_gemma":[0.0005759133,0.0001085071,0.0002957416,0.0001692486,0.000441013,0.0002672063,0.0003561405,0.0004353417,0.0001197597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938179,"about_ca_system_score_gemma":0.0003265914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002761794,"about_ca_topic_score_gemma":0.001380848,"domain_scores_codex":[0.9998153,0.00002972657,0.00001182446,0.00005017595,0.00006580394,0.00002721746],"domain_scores_gemma":[0.999774,0.00007851229,0.00004535691,0.00001894685,0.00007367281,0.000009496442],"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":[0.0002166486,0.00007359317,0.00114315,0.0002486751,0.00008897906,0.00036525,0.000246374,0.8192042,0.06329239,0.01878456,0.001125653,0.09521054],"study_design_scores_gemma":[0.00001079565,0.00004137972,0.0002658146,0.000002579764,0.000004349374,0.00001595627,0.000006861679,0.9973356,0.001263443,0.0006394864,0.0004099867,0.00000366341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1143437,0.0004606931,0.8797859,0.0001559109,0.00006871658,0.00005060025,0.00002833224,0.0003412396,0.004765011],"genre_scores_gemma":[0.9901116,0.00009445115,0.008409027,0.00001968922,0.00001723255,0.00004444561,0.00002147434,0.000005508055,0.00127666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002761794,"threshold_uncertainty_score":0.005491436,"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."}}