Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/110596
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Type: Journal article
Title: Command filtering-based fuzzy control for nonlinear systems with saturation input
Author: Yu, J.
Shi, P.
Dong, W.
Lin, C.
Citation: IEEE Transactions on Cybernetics, 2017; 47(9):2472-2479
Publisher: IEEE
Issue Date: 2017
ISSN: 2168-2267
2168-2275
Statement of
Responsibility: 
Jinpeng Yu, Peng Shi, Wenjie Dong and Chong Lin
Abstract: In this paper, command filtering-based fuzzy control is designed for uncertain multi-input multioutput (MIMO) nonlinear systems with saturation nonlinearity input. First, the command filtering method is employed to deal with the explosion of complexity caused by the derivative of virtual controllers. Then, fuzzy logic systems are utilized to approximate the nonlinear functions of MIMO systems. Furthermore, error compensation mechanism is introduced to overcome the drawback of the dynamics surface approach. The developed method will guarantee all signals of the systems are bounded. The effectiveness and advantages of the theoretic result are obtained by a simulation example.
Keywords: Backstepping; command filtering; fuzzy adaptive control; nonlinear system
Rights: © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
RMID: 0030077952
DOI: 10.1109/TCYB.2016.2633367
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
Appears in Collections:Electrical and Electronic Engineering publications

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