H ∞ Fault Detection for Linear Discrete Time-Varying Descriptor Systems with Missing Measurements

Joint Authors

Zhao, Huihong
Deng, Guangfu

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

Mathematics

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