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Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems

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4 Author(s)
Qi Zhou ; Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China ; Peng Shi ; Jinjun Lu ; Shengyuan Xu

This paper is concerned with the problem of adaptive fuzzy tracking control via output feedback for a class of uncertain single-input single-output (SISO) strict-feedback nonlinear systems. The dynamic feedback strategy begins with an input-driven filter. By utilizing fuzzy logic systems to approximate unknown and desired control input signals directly instead of the unknown nonlinear functions, an output-feedback fuzzy tracking controller is designed via a backstepping approach. It is shown that the proposed fuzzy adaptive output controller can guarantee that all the signals remain bounded and that the tracking error converges to a small neighborhood of the origin. Simulations results are presented to demonstrate the effectiveness of the proposed methods.

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:19 ,  Issue: 5 )