Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Adaptive output-feedback fuzzy tracking control for a class of nonlinear systems|
|Citation:||IEEE Transactions on Fuzzy Systems, 2011; 19(5):972-982|
|Publisher:||IEEE-Inst Electrical Electronics Engineers Inc|
|Qi Zhou, Peng Shi, Jinjun Lu, and Shengyuan Xu|
|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.|
|Rights:||© 2011 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.