Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 19, Issue 5, Pages 972-982Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2011.2158652
Keywords
Adaptive control; backstepping; fuzzy control; nonlinear systems; strict-feedback systems
Funding
- National Natural Science Foundation of China [61074043, 61074008]
- Qing Lan Project
- Natural Science Foundation of Jiangsu Province [BK2008047, BK2008188]
- Engineering and Physical Sciences Research Council, U.K. [EP/F029195]
- China Scholarship Council
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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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