Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/83518
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Sliding mode observer-based fault estimation for nonlinear networked control systems
Author: Jiang, B.
Shi, P.
Mao, Z.
Citation: Circuits, Systems and Signal Processing, 2011; 30(1):1-16
Publisher: Birkhauser Boston Inc
Issue Date: 2011
ISSN: 0278-081X
1531-5878
Statement of
Responsibility: 
Bin Jiang, Peng Shi, Zehui Mao
Abstract: In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear discrete Takagi-Sugeno (T-S) fuzzy model using the Euler approximation method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method. © Springer Science+Business Media, LLC 2010.
Keywords: Fault estimation
Nonlinear networked control systems
Sliding mode observer
Rights: © Springer Science+Business Media, LLC 2010
DOI: 10.1007/s00034-010-9203-7
Appears in Collections:Aurora harvest 4
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.