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|Title:||Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach|
|Keywords:||Adaptive fuzzy control|
fuzzy logic systems
|Citation:||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|
|Appears in Collections:||Staff Publications|
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