Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/95156
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Type: Journal article
Title: Observer and command-filter-based adaptive fuzzy output feedback control of uncertain nonlinear systems
Author: Yu, J.
Shi, P.
Dong, W.
Yu, H.
Citation: IEEE Transactions on Industrial Electronics, 2015; 62(9):5962-5970
Publisher: IEEE
Issue Date: 2015
ISSN: 0278-0046
1557-9948
Statement of
Responsibility: 
Jinpeng Yu, Peng Shi, Wenjie Dong and Haisheng Yu
Abstract: In this paper, observer and command-filterbased adaptive fuzzy output feedback control is proposed for a class of strict-feedback systems with parametric uncertainties and unmeasured states. First, fuzzy logic systems are used to approximate the unknown and nonlinear functions. Next, a fuzzy state observer is developed to estimate the immeasurable states. Then, command-filtered backstepping control is designed to avoid the explosion of complexity in the backstepping design, and compensating signals are introduced to remove the effect of the errors caused by command filters. The proposed method guarantees that all signals in the closed-loop systems are bounded. The main contributions of this paper are the proposed control method can overcome two problems of linear in the unknown system parameter and explosion of complexity in backstepping-design methods and it does not require that all of the states of the system are measured directly. Finally, two examples are provided to illustrate its effectiveness.
Keywords: Backstepping; command filter; fuzzy control; observer; output feedback control
Rights: © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission
RMID: 0030033763
DOI: 10.1109/TIE.2015.2418317
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
Appears in Collections:Electrical and Electronic Engineering publications

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