{"id":"W4403547289","doi":"10.1002/acs.3918","title":"Adaptive Fuzzy Finite‐Time Command Filtered Control for Stochastic Nonlinear Systems With Unmodeled Dynamics and Dead‐Zone Constraints","year":2024,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Fuzzy logic; Nonlinear system; Bounded function; Controller (irrigation); Trajectory; Filter (signal processing); Fuzzy control system; Uniform boundedness; Computer science; Dead zone; Stability (learning theory); Adaptive control; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000546274,0.0003878132,0.0007537624,0.000355334,0.000107278,0.0004350004,0.0002334532,0.0001288603,0.000006784629],"category_scores_gemma":[0.00006554611,0.0003048863,0.0001252398,0.000100689,0.0002796194,0.0006375778,0.00002194928,0.0004189945,0.000002736755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215301,"about_ca_system_score_gemma":0.0002106136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008269781,"about_ca_topic_score_gemma":0.00001229557,"domain_scores_codex":[0.9980164,0.00008263534,0.0007796517,0.0002852913,0.0005149927,0.0003210379],"domain_scores_gemma":[0.9970385,0.001053066,0.0003207243,0.0000662735,0.001317081,0.0002042919],"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":[0.008729139,0.0001604923,0.000120051,0.0005344395,0.006963591,0.0007883676,0.001095883,0.8201427,0.005821684,0.004790034,0.0001646857,0.150689],"study_design_scores_gemma":[0.006810985,0.0008221645,0.00007053836,0.001685523,0.0003249877,0.0007448379,0.0004959615,0.9883218,0.00001226193,0.0002492417,0.0001341924,0.0003275312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00640766,0.009590126,0.9817864,0.0002645356,0.0003621779,0.0005865135,0.0007150226,0.00007859422,0.0002089811],"genre_scores_gemma":[0.994933,0.00002523111,0.003893719,0.00006446257,0.0008723121,0.00003223136,0.0000164101,0.00007199436,0.00009061082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9885254,"threshold_uncertainty_score":0.9999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150325304162652,"score_gpt":0.2282350449135684,"score_spread":0.2167317918719419,"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."}}