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

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4 Author(s)
Bing Chen ; Inst. of Complexity Sci., Qingdao Univ., Qingdao, China ; Liu, X.P. ; Ge, S.S. ; Chong Lin

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.

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Fuzzy Systems, IEEE Transactions on  (Volume:20 ,  Issue: 6 )