{"id":"W3191637487","doi":"10.1109/tcsi.2021.3098830","title":"Adaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Tracking error; Fuzzy logic; Nonlinear system; Convergence (economics); Fuzzy control system; Adaptive control; Computer science; Tracking (education); Mathematics; 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":[0.0003842864,0.0004708015,0.0004665197,0.0002105742,0.0002606299,0.0006411676,0.0005241912,0.000572876,0.0008135631],"category_scores_gemma":[0.0007258094,0.0001183242,0.0003875897,0.000305558,0.00055346,0.0005885776,0.0004147156,0.0006021354,0.0001039534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003989475,"about_ca_system_score_gemma":0.0005588324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240061,"about_ca_topic_score_gemma":0.002067413,"domain_scores_codex":[0.9997576,0.00004652878,0.00001390306,0.00005347393,0.0001066693,0.00002181497],"domain_scores_gemma":[0.999754,0.0001040498,0.00003044713,0.00001688488,0.00008485553,0.00000977923],"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":[0.00008228373,0.00003932137,0.0005098486,0.0002447263,0.00005086672,0.0001631203,0.0002146337,0.8483907,0.02549988,0.03441564,0.0006758166,0.08971315],"study_design_scores_gemma":[0.000004617472,0.00002756392,0.00006560351,0.000002631255,0.000002861999,0.000009571064,0.000006339193,0.9971721,0.0007769672,0.001554158,0.0003743055,0.000003302779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01994167,0.0003432208,0.9779881,0.00008517774,0.00004443532,0.00001508192,0.000007356121,0.00007959642,0.001495292],"genre_scores_gemma":[0.9441699,0.0005099883,0.05183676,0.00007240188,0.00004630844,0.00007718504,0.00004562146,0.00001728876,0.003224572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004240061,"threshold_uncertainty_score":0.008430779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143996562548432,"score_gpt":0.2135842741218987,"score_spread":0.1991846178670555,"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."}}