Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach

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...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2012-12, Vol.20 (6), p.1012-1021
Main Authors: Bing Chen, Liu, X. P., Ge, S. S., Chong Lin
Format: Article
Language:English
Subjects:
Adaptive fuzzy control
Adaptive systems
Approximation methods
Backstepping
Fuzzy control
Fuzzy logic
fuzzy logic systems
Nonlinear control systems
Nonlinear systems
nonstrict-feedback systems
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Summary: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.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2012.2190048