{"id":"W3214656138","doi":"10.1002/acs.3351","title":"Finite‐time adaptive fuzzy command filtering control for stochastic nonlinear systems with input quantization","year":2021,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Fuzzy logic; Nonlinear system; Quantization (signal processing); Bounded function; Fuzzy control system; Computer science; Adaptive control; Controller (irrigation); Control engineering; Mathematics; Algorithm; Engineering; 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":[0.0006352788,0.0002633071,0.0004026589,0.0001740552,0.0002864805,0.0005386907,0.0004179779,0.0003684198,0.0008016168],"category_scores_gemma":[0.001230287,0.0001160453,0.000325025,0.0002091432,0.0005730931,0.0003581318,0.0003228724,0.0005436647,0.00006085168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903727,"about_ca_system_score_gemma":0.000824435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009702546,"about_ca_topic_score_gemma":0.004483627,"domain_scores_codex":[0.9997218,0.00006036915,0.0000187778,0.00004898886,0.0001238515,0.00002614479],"domain_scores_gemma":[0.9996305,0.0001773024,0.00004743882,0.00001863178,0.0001132827,0.00001279802],"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":[0.0001197697,0.000037924,0.0004781613,0.0001974207,0.00003375953,0.0001126362,0.0001657059,0.8974804,0.02401578,0.03140405,0.0005540815,0.04540031],"study_design_scores_gemma":[0.00000550604,0.0000227913,0.00009118632,0.000003168243,0.000003017665,0.000005274312,0.000005515353,0.9975426,0.0009474542,0.001179871,0.0001899859,0.000003593899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03433756,0.0001730947,0.9631723,0.0001363234,0.00004703868,0.00002678367,0.00001217113,0.0001051288,0.001989599],"genre_scores_gemma":[0.9780951,0.0001500553,0.01994733,0.00003823479,0.00001728908,0.00005536126,0.0000193724,0.000007792978,0.001669427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009702546,"threshold_uncertainty_score":0.01929212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480839701466113,"score_gpt":0.2315616866684432,"score_spread":0.2167532896537821,"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."}}