Finite-Time Fault Detection for Large-Scale Networked Systems with Randomly Occurring Nonlinearity and Fault
Joint Authors
Zhang, Yong
Liu, Zhenxing
Fang, Hua-Jing
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The finite-time fault detection problem is investigated for a class of nonlinear quantized large-scale networked systems with randomly occurring nonlinearities and faults.
A nonlinear Markovian jump system model with partially unknown transition probabilities is employed to describe this Makov data assignment pattern.
Based on obtained model, in finite-time stable framework, the desired mode-dependent fault detection filters are constructed such that the augmented error systems are finite-time stochastically stable with H∞ attenuation level.
Especially, the sufficient conclusions provide quantitative relationship between network characteristic, quantization level, and finite-time system parameter with finite-time fault detection performance.
The effectiveness of the proposed methods is demonstrated by simulation examples.
American Psychological Association (APA)
Zhang, Yong& Fang, Hua-Jing& Liu, Zhenxing. 2014. Finite-Time Fault Detection for Large-Scale Networked Systems with Randomly Occurring Nonlinearity and Fault. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-477633
Modern Language Association (MLA)
Zhang, Yong…[et al.]. Finite-Time Fault Detection for Large-Scale Networked Systems with Randomly Occurring Nonlinearity and Fault. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-477633
American Medical Association (AMA)
Zhang, Yong& Fang, Hua-Jing& Liu, Zhenxing. Finite-Time Fault Detection for Large-Scale Networked Systems with Randomly Occurring Nonlinearity and Fault. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-477633
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477633