Adaptive output-feedback fuzzy tracking control for a class of nonlinear systems
Date
2011
Authors
Zhou, Q.
Shi, P.
Lu, J.
Xu, S.
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Journal article
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IEEE Transactions on Fuzzy Systems, 2011; 19(5):972-982
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Qi Zhou, Peng Shi, Jinjun Lu, and Shengyuan Xu
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Abstract
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.
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© 2011 IEEE