H ∞ Fault Detection for Linear Discrete Time-Varying Descriptor Systems with Missing Measurements
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-05
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper deals with the problem of H ∞ fault detection for a class of linear discrete time-varying descriptor systems with missing measurements, and the missing measurements are described by a Bernoulli random binary switching sequence.
We first translate the H ∞ fault detection problem into an indefinite quadratic form problem.
Then, a sufficient and necessary condition on the existence of the minimum is derived.
Finally, an observer-based H ∞ fault detection filter is obtained such that the minimum is positive and its parameter matrices are calculated recursively by solving a matrix differential equation.
A numerical example is given to demonstrate the efficiency of the proposed method.
American Psychological Association (APA)
Deng, Guangfu& Zhao, Huihong. 2015. H ∞ Fault Detection for Linear Discrete Time-Varying Descriptor Systems with Missing Measurements. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1060798
Modern Language Association (MLA)
Deng, Guangfu& Zhao, Huihong. H ∞ Fault Detection for Linear Discrete Time-Varying Descriptor Systems with Missing Measurements. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1060798
American Medical Association (AMA)
Deng, Guangfu& Zhao, Huihong. H ∞ Fault Detection for Linear Discrete Time-Varying Descriptor Systems with Missing Measurements. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1060798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060798