Adaptive output-feedback fuzzy tracking control for a class of nonlinear systems
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Zhou, Qi, Shi, Peng, Lu, Jinjun and Xu, Shengyuan (2011) Adaptive output-feedback fuzzy tracking control for a class of nonlinear systems. IEEE Transactions on Fuzzy Systems, 19 (5). pp. 972-982. ISSN 1063-6706
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.
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/10385 |
| Official URL | http://dx.doi.org/10.1109/TFUZZ.2011.2158652 |
| Subjects | Historical > FOR Classification > 1503 Business and Management Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM) |
| Keywords | ResPubID24907, adaptive control, backstepping, fuzzy control, nonlinear systems, strict-feedback systems |
| Citations in Scopus | 326 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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