Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/84793
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Type: Conference paper
Title: High gain observer-based fault estimation for nonlinear networked control systems
Author: Mao, Z.
Jiang, B.
Shi, P.
Cocquempot, V.
Citation: Proceedings of the 2008 American Control Conference, 2008 / pp.3058-3063
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publisher Place: USA
Issue Date: 2008
ISBN: 9781424420797
ISSN: 0743-1619
Conference Name: 2008 American Control Conference (ACC) (11 Jun 2008 - 13 Jun 2008 : Seattle, WA)
Statement of
Responsibility: 
Zehui Mao, Bin Jiang, Peng Shi, and Vincent Cocquempot
Abstract: In this paper, an observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. First, the nonlinear NCSs are modelled by nonlinear discrete Takagi- Sugeno (T-S) fuzzy model with modelling uncertainty. Under some geometric conditions, the proposed nonlinear T-S model can be transformed into two subsystems with one of them having backstepping form. Then, the discrete nonlinear observer is designed to provide the estimation of unmeasurable state and the modelling uncertainty, which is used to construct a fault estimation algorithm. Finally, an example is included to show the efficiency of the proposed method. Index Terms-Nonlinear networked control systems, Takagi- Sugeno fuzzy model, fault estimation, observer.
Rights: © 2008 AACC
RMID: 0020128375
DOI: 10.1109/ACC.2008.4586962
Appears in Collections:Electrical and Electronic Engineering publications

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