Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/104017
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Type: Journal article
Title: Observer-based fault detection for nonlinear systems with sensor fault and limited communication capacity
Author: Li, H.
Gao, Y.
Shi, P.
Lam, H.
Citation: IEEE Transactions on Automatic Control, 2016; 61(9):2745-2751
Publisher: IEEE
Issue Date: 2016
ISSN: 0018-9286
1558-2523
Statement of
Responsibility: 
Hongyi Li, Yabin Gao, Peng Shi, and Hak-Keung Lam
Abstract: In this technical note, a new fault detection design scheme is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems with sensor fault based on a novel fuzzy observer. The parameter uncertainties can be captured by the membership functions of the IT2 fuzzy model. The premise variables of the plant are perfectly shared by the fuzzy observer. A stochastic process between the plant and the observer is considered in the system. A fault sensitive performance is established, and then sufficient conditions are obtained for determining the fuzzy observer gains. Finally, simulation results are provided to verify the effectiveness of the presented scheme.
Keywords: Fault detection; nonlinear systems; observer design; stochastic stable
Rights: © 2015 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.
DOI: 10.1109/TAC.2015.2503566
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
http://purl.org/au-research/grants/arc/LE150100079
Appears in Collections:Aurora harvest 7
Electrical and Electronic Engineering publications

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