{"id":"W3088061736","doi":"10.1155/2020/6347913","title":"Adaptive Fuzzy Fast Finite-Time Tracking Control for Nonlinear Systems in Pure-Feedback Form with Unknown Disturbance","year":2020,"lang":"en","type":"article","venue":"Complexity","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Backstepping; Tracking error; Fuzzy logic; Controller (irrigation); Nonlinear system; Bounded function; Lyapunov stability; Mean value theorem (divided differences); Computer science; Fuzzy control system; Mathematics; Adaptive control; Lyapunov function; Stability (learning theory); Tracking (education); Control (management); 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":[0.0004599828,0.0006248159,0.0004938174,0.000229236,0.0004096956,0.0006993269,0.0007536174,0.0006318998,0.0006173374],"category_scores_gemma":[0.0009541457,0.0001921317,0.0004272099,0.0003648649,0.000472315,0.0005920474,0.000440151,0.0005851731,0.0001045647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004972697,"about_ca_system_score_gemma":0.0005788454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005665181,"about_ca_topic_score_gemma":0.004408209,"domain_scores_codex":[0.9997099,0.00004857234,0.00001895077,0.000067516,0.0001273673,0.00002760775],"domain_scores_gemma":[0.9996643,0.0001466393,0.00005976302,0.00002548085,0.0000930887,0.00001085447],"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":[0.0001392744,0.00005398854,0.0004545456,0.0002995023,0.00007952082,0.0003185158,0.0002106769,0.8740621,0.02990832,0.0237531,0.0006454361,0.07007501],"study_design_scores_gemma":[0.000006836542,0.00003039809,0.0001103653,0.000003547479,0.00000582639,0.00001913239,0.000005578653,0.9973962,0.0009137611,0.00112395,0.0003802291,0.000004097724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03045237,0.0003961051,0.9666909,0.00008287396,0.00006131022,0.00002469486,0.00001350176,0.0001494082,0.002128848],"genre_scores_gemma":[0.9663844,0.0003202348,0.03023398,0.00005814494,0.00004397943,0.00007529739,0.00004208867,0.00001281952,0.002829159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005665181,"threshold_uncertainty_score":0.01126444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214425256726386,"score_gpt":0.2313761064876811,"score_spread":0.1892318539204172,"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."}}