Please use this identifier to cite or link to this item: https://doi.org/10.1109/TFUZZ.2012.2190048
Title: Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach
Authors: Chen, B.
Liu, X.P.
Ge, S.S. 
Lin, C.
Keywords: Adaptive fuzzy control
fuzzy logic systems
nonstrict-feedback systems
Issue Date: 2012
Source: Chen, B.,Liu, X.P.,Ge, S.S.,Lin, C. (2012). Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach. IEEE Transactions on Fuzzy Systems 20 (6) : 1012-1021. ScholarBank@NUS Repository. https://doi.org/10.1109/TFUZZ.2012.2190048
Abstract: Controlling nonstrict-feedback nonlinear systems is a challenging problem in control theory. In this paper, we consider adaptive fuzzy control for a class of nonlinear systems with nonstrict-feedback structure by using fuzzy logic systems. A variable separation approach is developed to overcome the difficulty from the nonstrict-feedback structure. Furthermore, based on fuzzy approximation and backstepping techniques, a state feedback adaptive fuzzy tracking controller is proposed, which guarantees that all of the signals in the closed-loop system are bounded, while the tracking error converges to a small neighborhood of the origin. Simulation studies are included to demonstrate the effectiveness of our results. © 2012 IEEE.
Source Title: IEEE Transactions on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/54898
ISSN: 10636706
DOI: 10.1109/TFUZZ.2012.2190048
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