Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/78005
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Type: Journal article
Title: Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model
Author: Xu, D.
Jiang, B.
Shi, P.
Citation: International Journal of Applied Mathematics and Computer Science, 2012; 22(1):183-196
Publisher: University of Zielona Gora
Issue Date: 2012
ISSN: 1641-876X
2083-8492
Statement of
Responsibility: 
Dezhi Xu, Bin Jiang Peng Shi
Abstract: Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.
Keywords: actuator fault estimation; Takagi–Sugeno fuzzy models; robust sliding mode observer; inverse system method.
Rights: Copyright status unmkown
RMID: 0020127558
DOI: 10.2478/v10006-012-0014-9
Published version: http://matwbn.icm.edu.pl/ksiazki/amc/amc22/amc22114.pdf
Appears in Collections:Electrical and Electronic Engineering publications

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